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Bio-Inspired Applications of Connectionism [[electronic resource] ] : 6th International Work-Conference on Artificial and Natural Neural Networks, IWANN 2001 Granada, Spain, June 13-15, 2001, Proceedings, Part II / / edited by Jose Mira, Alberto Prieto
| Bio-Inspired Applications of Connectionism [[electronic resource] ] : 6th International Work-Conference on Artificial and Natural Neural Networks, IWANN 2001 Granada, Spain, June 13-15, 2001, Proceedings, Part II / / edited by Jose Mira, Alberto Prieto |
| Edizione | [1st ed. 2001.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2001 |
| Descrizione fisica | 1 online resource (LIV, 852 p.) |
| Disciplina | 573.8 |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico |
Artificial intelligence
Computers Algorithms Neurosciences Neurology Bioinformatics Computational biology Artificial Intelligence Computation by Abstract Devices Algorithm Analysis and Problem Complexity Neurology Computer Appl. in Life Sciences |
| ISBN | 3-540-45723-2 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Bio-inspired Systems and Engineering -- Methodology for Nets Design, Nets Simulation and Implementation -- Image Processing -- Medical Applications -- Robotics -- General Applications. |
| Record Nr. | UNISA-996466070303316 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2001 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Bio-Inspired Applications of Connectionism : 6th International Work-Conference on Artificial and Natural Neural Networks, IWANN 2001 Granada, Spain, June 13-15, 2001, Proceedings, Part II / / edited by Jose Mira, Alberto Prieto
| Bio-Inspired Applications of Connectionism : 6th International Work-Conference on Artificial and Natural Neural Networks, IWANN 2001 Granada, Spain, June 13-15, 2001, Proceedings, Part II / / edited by Jose Mira, Alberto Prieto |
| Edizione | [1st ed. 2001.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2001 |
| Descrizione fisica | 1 online resource (LIV, 852 p.) |
| Disciplina | 573.8 |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico |
Artificial intelligence
Computers Algorithms Neurosciences Neurology Bioinformatics Computational biology Artificial Intelligence Computation by Abstract Devices Algorithm Analysis and Problem Complexity Computer Appl. in Life Sciences |
| ISBN | 3-540-45723-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Bio-inspired Systems and Engineering -- Methodology for Nets Design, Nets Simulation and Implementation -- Image Processing -- Medical Applications -- Robotics -- General Applications. |
| Record Nr. | UNINA-9910143596103321 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2001 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Bioinspired Applications in Artificial and Natural Computation [[electronic resource] ] : Third International Work-Conference on the Interplay Between Natural and Artificial Computation, IWINAC 2009, Santiago de Compostela, Spain, June 22-26, 2009, Proceedings, Part II / / edited by Jose Mira, José M. Ferrández, Jose-Ramon Alvarez Sanchez, Felix Paz, Javier Toledo
| Bioinspired Applications in Artificial and Natural Computation [[electronic resource] ] : Third International Work-Conference on the Interplay Between Natural and Artificial Computation, IWINAC 2009, Santiago de Compostela, Spain, June 22-26, 2009, Proceedings, Part II / / edited by Jose Mira, José M. Ferrández, Jose-Ramon Alvarez Sanchez, Felix Paz, Javier Toledo |
| Edizione | [1st ed. 2009.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2009 |
| Descrizione fisica | 1 online resource (XXI, 532 p.) |
| Disciplina | 004.0151 |
| Collana | Theoretical Computer Science and General Issues |
| Soggetto topico |
Computer science
Algorithms Artificial intelligence Computer vision Pattern recognition systems Bioinformatics Theory of Computation Artificial Intelligence Computer Vision Automated Pattern Recognition Computational and Systems Biology |
| ISBN |
1-280-38298-8
9786613560896 3-642-02267-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Measurements over the Aquiles Tendon through Ecographic Images Processing -- A New Approach in Metal Artifact Reduction for CT 3D Reconstruction -- Genetic Approaches for the Automatic Division of Topological Active Volumes -- Object Discrimination by Infrared Image Processing -- Validation of Fuzzy Connectedness Segmentation for Jaw Tissues -- Breast Cancer Classification Applying Artificial Metaplasticity -- Ontology Based Approach to the Detection of Domestics Problems for Independent Senior People -- A Wireless Sensor Network for Assisted Living at Home of Elderly People -- An Ambient Assisted Living System for Telemedicine with Detection of Symptoms -- Applying Context-Aware Computing in Dependent Environments -- A Smart Solution for Elders in Ambient Assisted Living -- Convergence of Emergent Technologies for the Digital Home -- Results of an Adaboost Approach on Alzheimer’s Disease Detection on MRI -- Analysis of Brain SPECT Images for the Diagnosis of Alzheimer Disease Using First and Second Order Moments -- Neurobiological Significance of Automatic Segmentation: Application to the Early Diagnosis of Alzheimer’s Disease -- Support Vector Machines and Neural Networks for the Alzheimer’s Disease Diagnosis Using PCA -- Functional Brain Image Classification Techniques for Early Alzheimer Disease Diagnosis -- Quality Checking of Medical Guidelines Using Interval Temporal Logics: A Case-Study -- Classification of SPECT Images Using Clustering Techniques Revisited -- Detection of Microcalcifications Using Coordinate Logic Filters and Artificial Neural Networks -- Rule Evolving System for Knee Lesion Prognosis from Medical Isokinetic Curves -- Denoising of Radiotherapy Portal Images Using Wavelets -- A Block-Based Human Model for Visual Surveillance -- Image Equilibrium: A Global Image Property for Human-Centered Image Analysis -- Vision-Based Text Segmentation System for Generic Display Units -- Blind Navigation along a Sinuous Path by Means of the See ColOr Interface -- Using Reconfigurable Supercomputers and C-to-Hardware Synthesis for CNN Emulation -- Access Control to Security Areas Based on Facial Classification -- Comparing Feature Point Tracking with Dense Flow Tracking for Facial Expression Recognition -- A Memory-Based Particle Filter for Visual Tracking through Occlusions -- Classification of Welding Defects in Radiographic Images Using an ANN with Modified Performance Function -- Texture Classification of the Entire Brodatz Database through an Orientational-Invariant Neural Architecture -- Eye-Hand Coordination for Reaching in Dorsal Stream Area V6A: Computational Lessons -- Toward an Integrated Visuomotor Representation of the Peripersonal Space -- Evidence for Peak-Shaped Gaze Fields in Area V6A: Implications for Sensorimotor Transformations in Reaching Tasks -- Segmenting Humans from Mobile Thermal Infrared Imagery -- My Sparring Partner Is a Humanoid Robot -- Brain-Robot Interface for Controlling a Remote Robot Arm -- Learning to Coordinate Multi-robot Competitive Systems by Stimuli Adaptation -- A Behavior Based Architecture with Auction-Based Task Assignment for Multi-robot Industrial Applications -- On the Control of a Multi-robot System for the Manipulation of an Elastic Hose -- An Improved Evolutionary Approach for Egomotion Estimation with a 3D TOF Camera -- A Frame for an Urban Traffic Control Architecture -- Partial Center of Area Method Used for Reactive Autonomous Robot Navigation -- Mathematical Foundations of the Center of Area Method for Robot Navigation -- Determining Sound Source Orientation from Source Directivity and Multi-microphone Recordings -- A Braitenberg Lizard: Continuous Phonotaxis with a Lizard Ear Model -- A New Metric for Supervised dFasArt Based on Size-Dependent Scatter Matrices That Enhances Maneuver Prediction in Road Vehicles -- A Strategy for Evolutionary Spanning Tree Construction within Constrained Graphs with Application to Electrical Networks -- An Evolutionary Approach for Correcting Random Amplified Polymorphism DNA Images -- A Method to Minimize Distributed PSO Algorithm Execution Time in Grid Computer Environment -- Assessment of a Speaker Recognition System Based on an Auditory Model and Neural Nets -- CIE-9-MC Code Classification with knn and SVM -- Time Estimation in Injection Molding Production for Automotive Industry Based on SVR and RBF -- Performance of High School Students in Learning Math: A Neural Network Approach. |
| Record Nr. | UNISA-996465540203316 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2009 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Biological and Artificial Computation: From Neuroscience to Technology [[electronic resource] ] : International Work-Conference on Artificial and Natural Neural Networks, IWANN’97, Lanzarote, Canary Islands, Spain, June 4–6, 1997 Proceedings / / edited by Jose Mira, Roberto Moreno-Diaz, Joan Cabestany
| Biological and Artificial Computation: From Neuroscience to Technology [[electronic resource] ] : International Work-Conference on Artificial and Natural Neural Networks, IWANN’97, Lanzarote, Canary Islands, Spain, June 4–6, 1997 Proceedings / / edited by Jose Mira, Roberto Moreno-Diaz, Joan Cabestany |
| Edizione | [1st ed. 1997.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 1997 |
| Descrizione fisica | 1 online resource (XLII, 1406 p. 856 illus.) |
| Disciplina | 006.3/2 |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico |
Computers
Artificial intelligence Computational complexity Neurosciences Computer communication systems Animal physiology Computation by Abstract Devices Artificial Intelligence Complexity Computer Communication Networks Animal Physiology |
| ISBN | 3-540-69074-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Microcircuits in the brain -- Some reflections on the relationships between neuroscience and computation -- Different types of temporal correlations obtained in pairs of thalamic visual neurons suggest different functional patterns of connectivity -- Development of on-off and off-on receptive fields using a semistochastic model -- The classification of spatial, chromatic, and intensity features of simple visual stimuli by a network of retinal ganglion cells -- Geometric model of orientation tuning dynamics in striate neurons -- Neuronal circuitry in the medial cerebral cortex of lizards -- Interactions between environmental and hormonal oscillations induce plastic changes in a simple neuroendocrine transducer -- Current Source Density analysis as a tool to constrain the parameter space in hippocampal CA1 neuron models -- Spontaneous activity of hippocampal cells in various physiological states -- Neural network model of striatal complex -- Symmetry and self-organization of the oculomotor neural integrator -- Quantal neural mechanisms underlying movement execution and motor learning -- A model of cerebellar saccadic motor learning using qualitative reasoning -- Balance between intercellular coupling and input resistance as a necessary requirement for oscillatory electrical activity in pancreatic ?-cells -- Mechanisms of synchronization in the hippocampus and its role along development -- Analysis of synfire chains above saturation -- Allometry in the Justo Gonzalo's model of the sensorial cortex -- Systems models of retinal cells: A classical example -- A generic formulation of neural nets as a model of parallel and self-programming computation -- Using an artificial neural network for studying the interneuronal layer of a leech neuronal circuit -- Capacity and parasitic fixed points control in a recursive neural network -- The use of prior knowledge in neural network configuration and training -- A model for heterogeneous neurons and its use in configuring neural networks for classification problems -- A computation theory for orientation-selective simple cells based on the MAP estimation principle and Markov random fields -- Competition between feed-forward and lateral information processing in layered neural networks -- Computing functions with spiking neurons in temporal coding -- An introduction to Fuzzy State Automata -- Statistical analysis of regularization constant — From Bayes, MDL and NIC points of view -- Building digital libraries from paper documents, using ART based neuro-fuzzy systems -- Parallelization of connectionist models based on a symbolic formalism -- Generic neural network model and simulation toolkit -- A neural-fuzzy technique for interpolating spatial data via the use of learning curve -- Task decomposition based on class relations: A modular neural network architecture for pattern classification -- Lower bounds of computational power of a synaptic calculus -- Feed Forward Neural Network entities -- Astrocytes and slow learning in the formation of distal cortical associations -- Adaptation and other dynamic effects on neural signal transfer -- Hebbian learning in networks of spiking neurons using temporal coding -- An associative learning model for coupled neural oscillators -- Random perturbations to Hebbian synapses of associative memory using a genetic algorithm -- Phase memory in oscillatory networks -- Strategies for autonomous adaptation and learning in dynamical networks -- Modeling the parallel development of multiple featuremaps and topography in visual cortex -- Stability and hebbian learning in populations of probabilistic neurons -- Stochastic approximation techniques and circuits and systems associated tools for neural network optimization -- Recursive hetero-associative memories for translation -- Universal Binary and Multi-Valued Neurons paradigm: Conception, learning, applications -- Learning a Markov process with a synchronous Boltzmann machine -- The ?-EM algorithm: A block connectable generalized leaning tool for neural networks -- Training simple recurrent networks through gradient descent algorithms -- On simultaneous weight and architecture learning -- Evolution of structure and learning — A GP approach -- Self-organizing formation of receptive fields and competitive systems -- Optimizing a neural network architecture with an adaptive parameter genetic algorithm -- Self-organizing symbolic learned rules -- Viewing a class of neurodynamics on parameter space -- Hopfield neural network applied to optimization problems: Some theoretical and simulation results -- A genetic approach to computing Independent And Parallelism in logic programs -- Predicting toxicity of complex mixtures by artificial neural networks -- Regularisation by Convolution in Symmetric-?-Stable function networks -- Continuation of chaotic fields by RBFNN -- Improving the performance of Piecewise linear Separation incremental algorithms for practical hardware implementations -- Accurate decomposition of standard MLP classification responses into symbolic rules -- A hybrid intelligent system for the pre-processing of Fetal Heart rate signals in antenatal testing -- The pattern extraction architecture: A connectionist alternative to the von Neumann architecture -- A two-level heterogeneous hybrid model -- Interpretation of a hierarchical neural network -- Cognitive processes in social interactions — A neural networks' approach -- Adding phase to recurrent backpropagation networks: An application to binding tasks in vision -- Schema-based learning: Biologically inspired principles of dynamic organization -- Digital connectionist hardware: Current problems and future challenges -- EpsiloNN — A specification language for the efficient parallel simulation of neural networks -- Forward-backward building blocks for evolving neural networks with intrinsic learning behaviours -- A cascade network algorithm employing Progressive RPROP -- Tight bounds on the size of neural networks for classification problems -- On the possibilities of the limited precision weights neural networks in classification problems -- A modified backpropagation algorithm to tolerate weight errors -- A high performance SOFM hardware-system -- On application incentive and constraints for neural network hardware development -- A fast Kohonen net implementation for spert-II -- Synthesis and optimization of a bit-serial pipeline kernel processor -- A hardware implementation of CNNs based on Pulse Stream Techniques -- Evaluation of the CNAPS neuro-computer for the simulation of MLPS with receptive fields -- AFAN, a tool for the automatic design of fuzzy and neural controllers -- A fully stochastic fuzzy logic controller -- Multi-Neural Networks hardware and software architecture: Application of the divide to simplify paradigm DTS -- A fuzzy controller for switching regulators with programmable control surfaces -- The Kohonen algorithm: A powerful tool for analysing and representing multidimensional quantitative and qualitative data -- Constrained neural network for estimating sensor reliability in sensors fusion -- Statistical analysis of the main parameters in the definition of Radial Basis Function networks -- Structural level comparison of two basic paradigms in neural computation -- Symmetry: Between indecision and equality of choice -- A non-convergent on-line training algorithm for neural networks -- Using classical and evolutive neural models in industrial applications: A case study for an automatic Coin Classifier -- A new type of unsupervised growing neural network for biological sequence classification that adopts the topology of a phylogenetic tree -- Classification of the onset of respiratory difficulties in ventilation assisted neonates -- A neural network approach for symbolic interpretation in critical care -- ECG beat classification with synaptic delay based artificial neural networks -- Neural network-based insulin infusion control for an insulin-pump, using discontinuous blood glucose measurements -- Infraclinic breast carcinoma: Application of neural networks techniques for the indication of radioguided biopsias -- Detection of Glaucoma by means of ANNs -- A comparative analysis of the neonatal prognosis problem using artificial neural networks, statistical techniques and certainty management techniques -- Models of visual processing derived from cortical microelectrode recordings -- Rotation invariant IR object recognition using adaptive kernel subspace projections with a neural network -- Neural networks based projectivity invariant recognition of flat patterns -- The instant laboratory: Bringing intelligence to the workfloor -- A biological front-end processing for speech recognition -- Non parametric coding of speech by means of a MLP with hints -- Gray-level object segmentation with a network of FitzHugh-Nagumo oscillators -- Multidimensional filtering inspired by retino-cortical projection: Application to texture segmentation -- A competitive neural network for blind separation of sources based on geometric properties -- A new bio-inspired algorithm for early vision edge detection and image segmentation -- Function of biological asymmetrical neural networks -- Identification of spectral features as sound localization cues in the external ear acoustics -- Phoneme recognition by means of predictive neural networks -- Shift-invariant fuzzy-morphology neural network for occluded target recognition -- A comparative study between linear and nonlinear speech prediction -- Recognition model with extension fields -- A GA-optimized neural network for classification of biological particles from electron-microscopy images -- Application of artificial neural networks to the design and implementation of electronic olfactory systems -- Application of a multilayer discrete-time CNN to deformable models -- Spoken-digit recognition using self-organizing maps with perceptual pre-processing -- Noise discrimination . |
| Record Nr. | UNISA-996465383703316 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 1997 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Biological and Artificial Computation: From Neuroscience to Technology [[electronic resource] ] : International Work-Conference on Artificial and Natural Neural Networks, IWANN’97, Lanzarote, Canary Islands, Spain, June 4–6, 1997 Proceedings / / edited by Jose Mira, Roberto Moreno-Diaz, Joan Cabestany
| Biological and Artificial Computation: From Neuroscience to Technology [[electronic resource] ] : International Work-Conference on Artificial and Natural Neural Networks, IWANN’97, Lanzarote, Canary Islands, Spain, June 4–6, 1997 Proceedings / / edited by Jose Mira, Roberto Moreno-Diaz, Joan Cabestany |
| Edizione | [1st ed. 1997.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 1997 |
| Descrizione fisica | 1 online resource (XLII, 1406 p. 856 illus.) |
| Disciplina | 006.3/2 |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico |
Computers
Artificial intelligence Computational complexity Neurosciences Computer networks Physiology Computation by Abstract Devices Artificial Intelligence Complexity Computer Communication Networks Animal Physiology |
| ISBN | 3-540-69074-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Microcircuits in the brain -- Some reflections on the relationships between neuroscience and computation -- Different types of temporal correlations obtained in pairs of thalamic visual neurons suggest different functional patterns of connectivity -- Development of on-off and off-on receptive fields using a semistochastic model -- The classification of spatial, chromatic, and intensity features of simple visual stimuli by a network of retinal ganglion cells -- Geometric model of orientation tuning dynamics in striate neurons -- Neuronal circuitry in the medial cerebral cortex of lizards -- Interactions between environmental and hormonal oscillations induce plastic changes in a simple neuroendocrine transducer -- Current Source Density analysis as a tool to constrain the parameter space in hippocampal CA1 neuron models -- Spontaneous activity of hippocampal cells in various physiological states -- Neural network model of striatal complex -- Symmetry and self-organization of the oculomotor neural integrator -- Quantal neural mechanisms underlying movement execution and motor learning -- A model of cerebellar saccadic motor learning using qualitative reasoning -- Balance between intercellular coupling and input resistance as a necessary requirement for oscillatory electrical activity in pancreatic ?-cells -- Mechanisms of synchronization in the hippocampus and its role along development -- Analysis of synfire chains above saturation -- Allometry in the Justo Gonzalo's model of the sensorial cortex -- Systems models of retinal cells: A classical example -- A generic formulation of neural nets as a model of parallel and self-programming computation -- Using an artificial neural network for studying the interneuronal layer of a leech neuronal circuit -- Capacity and parasitic fixed points control in a recursive neural network -- The use of prior knowledge in neural network configuration and training -- A model for heterogeneous neurons and its use in configuring neural networks for classification problems -- A computation theory for orientation-selective simple cells based on the MAP estimation principle and Markov random fields -- Competition between feed-forward and lateral information processing in layered neural networks -- Computing functions with spiking neurons in temporal coding -- An introduction to Fuzzy State Automata -- Statistical analysis of regularization constant — From Bayes, MDL and NIC points of view -- Building digital libraries from paper documents, using ART based neuro-fuzzy systems -- Parallelization of connectionist models based on a symbolic formalism -- Generic neural network model and simulation toolkit -- A neural-fuzzy technique for interpolating spatial data via the use of learning curve -- Task decomposition based on class relations: A modular neural network architecture for pattern classification -- Lower bounds of computational power of a synaptic calculus -- Feed Forward Neural Network entities -- Astrocytes and slow learning in the formation of distal cortical associations -- Adaptation and other dynamic effects on neural signal transfer -- Hebbian learning in networks of spiking neurons using temporal coding -- An associative learning model for coupled neural oscillators -- Random perturbations to Hebbian synapses of associative memory using a genetic algorithm -- Phase memory in oscillatory networks -- Strategies for autonomous adaptation and learning in dynamical networks -- Modeling the parallel development of multiple featuremaps and topography in visual cortex -- Stability and hebbian learning in populations of probabilistic neurons -- Stochastic approximation techniques and circuits and systems associated tools for neural network optimization -- Recursive hetero-associative memories for translation -- Universal Binary and Multi-Valued Neurons paradigm: Conception, learning, applications -- Learning a Markov process with a synchronous Boltzmann machine -- The ?-EM algorithm: A block connectable generalized leaning tool for neural networks -- Training simple recurrent networks through gradient descent algorithms -- On simultaneous weight and architecture learning -- Evolution of structure and learning — A GP approach -- Self-organizing formation of receptive fields and competitive systems -- Optimizing a neural network architecture with an adaptive parameter genetic algorithm -- Self-organizing symbolic learned rules -- Viewing a class of neurodynamics on parameter space -- Hopfield neural network applied to optimization problems: Some theoretical and simulation results -- A genetic approach to computing Independent And Parallelism in logic programs -- Predicting toxicity of complex mixtures by artificial neural networks -- Regularisation by Convolution in Symmetric-?-Stable function networks -- Continuation of chaotic fields by RBFNN -- Improving the performance of Piecewise linear Separation incremental algorithms for practical hardware implementations -- Accurate decomposition of standard MLP classification responses into symbolic rules -- A hybrid intelligent system for the pre-processing of Fetal Heart rate signals in antenatal testing -- The pattern extraction architecture: A connectionist alternative to the von Neumann architecture -- A two-level heterogeneous hybrid model -- Interpretation of a hierarchical neural network -- Cognitive processes in social interactions — A neural networks' approach -- Adding phase to recurrent backpropagation networks: An application to binding tasks in vision -- Schema-based learning: Biologically inspired principles of dynamic organization -- Digital connectionist hardware: Current problems and future challenges -- EpsiloNN — A specification language for the efficient parallel simulation of neural networks -- Forward-backward building blocks for evolving neural networks with intrinsic learning behaviours -- A cascade network algorithm employing Progressive RPROP -- Tight bounds on the size of neural networks for classification problems -- On the possibilities of the limited precision weights neural networks in classification problems -- A modified backpropagation algorithm to tolerate weight errors -- A high performance SOFM hardware-system -- On application incentive and constraints for neural network hardware development -- A fast Kohonen net implementation for spert-II -- Synthesis and optimization of a bit-serial pipeline kernel processor -- A hardware implementation of CNNs based on Pulse Stream Techniques -- Evaluation of the CNAPS neuro-computer for the simulation of MLPS with receptive fields -- AFAN, a tool for the automatic design of fuzzy and neural controllers -- A fully stochastic fuzzy logic controller -- Multi-Neural Networks hardware and software architecture: Application of the divide to simplify paradigm DTS -- A fuzzy controller for switching regulators with programmable control surfaces -- The Kohonen algorithm: A powerful tool for analysing and representing multidimensional quantitative and qualitative data -- Constrained neural network for estimating sensor reliability in sensors fusion -- Statistical analysis of the main parameters in the definition of Radial Basis Function networks -- Structural level comparison of two basic paradigms in neural computation -- Symmetry: Between indecision and equality of choice -- A non-convergent on-line training algorithm for neural networks -- Using classical and evolutive neural models in industrial applications: A case study for an automatic Coin Classifier -- A new type of unsupervised growing neural network for biological sequence classification that adopts the topology of a phylogenetic tree -- Classification of the onset of respiratory difficulties in ventilation assisted neonates -- A neural network approach for symbolic interpretation in critical care -- ECG beat classification with synaptic delay based artificial neural networks -- Neural network-based insulin infusion control for an insulin-pump, using discontinuous blood glucose measurements -- Infraclinic breast carcinoma: Application of neural networks techniques for the indication of radioguided biopsias -- Detection of Glaucoma by means of ANNs -- A comparative analysis of the neonatal prognosis problem using artificial neural networks, statistical techniques and certainty management techniques -- Models of visual processing derived from cortical microelectrode recordings -- Rotation invariant IR object recognition using adaptive kernel subspace projections with a neural network -- Neural networks based projectivity invariant recognition of flat patterns -- The instant laboratory: Bringing intelligence to the workfloor -- A biological front-end processing for speech recognition -- Non parametric coding of speech by means of a MLP with hints -- Gray-level object segmentation with a network of FitzHugh-Nagumo oscillators -- Multidimensional filtering inspired by retino-cortical projection: Application to texture segmentation -- A competitive neural network for blind separation of sources based on geometric properties -- A new bio-inspired algorithm for early vision edge detection and image segmentation -- Function of biological asymmetrical neural networks -- Identification of spectral features as sound localization cues in the external ear acoustics -- Phoneme recognition by means of predictive neural networks -- Shift-invariant fuzzy-morphology neural network for occluded target recognition -- A comparative study between linear and nonlinear speech prediction -- Recognition model with extension fields -- A GA-optimized neural network for classification of biological particles from electron-microscopy images -- Application of artificial neural networks to the design and implementation of electronic olfactory systems -- Application of a multilayer discrete-time CNN to deformable models -- Spoken-digit recognition using self-organizing maps with perceptual pre-processing -- Noise discrimination . |
| Record Nr. | UNINA-9910144921203321 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 1997 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Connectionist Models of Neurons, Learning Processes, and Artificial Intelligence [[electronic resource] ] : 6th International Work-Conference on Artificial and Natural Neural Networks, IWANN 2001 Granada, Spain, June 13-15, 2001, Proceedings, Part I / / edited by Jose Mira, Alberto Prieto
| Connectionist Models of Neurons, Learning Processes, and Artificial Intelligence [[electronic resource] ] : 6th International Work-Conference on Artificial and Natural Neural Networks, IWANN 2001 Granada, Spain, June 13-15, 2001, Proceedings, Part I / / edited by Jose Mira, Alberto Prieto |
| Edizione | [1st ed. 2001.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2001 |
| Descrizione fisica | 1 online resource (XXVIII, 840 p.) |
| Disciplina | 573.8 |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico |
Artificial intelligence
Computers Algorithms Neurosciences Neurology Bioinformatics Computational biology Artificial Intelligence Computation by Abstract Devices Algorithm Analysis and Problem Complexity Neurology Computer Appl. in Life Sciences |
| ISBN | 3-540-45720-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Foundations of Connectionism and Biophysical Models of Neurons -- Structural and Functional Models of Neurons -- Learning and Other Plasticity Phenomena, and Complex Systems Dynamics -- Artificial Intelligence and Cognitive Processes. |
| Record Nr. | UNISA-996466071103316 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2001 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Connectionist Models of Neurons, Learning Processes, and Artificial Intelligence : 6th International Work-Conference on Artificial and Natural Neural Networks, IWANN 2001 Granada, Spain, June 13-15, 2001, Proceedings, Part I / / edited by Jose Mira, Alberto Prieto
| Connectionist Models of Neurons, Learning Processes, and Artificial Intelligence : 6th International Work-Conference on Artificial and Natural Neural Networks, IWANN 2001 Granada, Spain, June 13-15, 2001, Proceedings, Part I / / edited by Jose Mira, Alberto Prieto |
| Edizione | [1st ed. 2001.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2001 |
| Descrizione fisica | 1 online resource (XXVIII, 840 p.) |
| Disciplina | 573.8 |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico |
Artificial intelligence
Computers Algorithms Neurosciences Neurology Bioinformatics Computational biology Artificial Intelligence Computation by Abstract Devices Algorithm Analysis and Problem Complexity Computer Appl. in Life Sciences |
| ISBN | 3-540-45720-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Foundations of Connectionism and Biophysical Models of Neurons -- Structural and Functional Models of Neurons -- Learning and Other Plasticity Phenomena, and Complex Systems Dynamics -- Artificial Intelligence and Cognitive Processes. |
| Record Nr. | UNINA-9910143596203321 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2001 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Engineering Applications of Bio-Inspired Artificial Neural Networks [[electronic resource] ] : International Work-Conference on Artificial and Natural Neural Networks, IWANN'99, Alicante, Spain, June 2-4, 1999, Proceedings, Volume II / / edited by Jose Mira, Juan V. Sanchez-Andres
| Engineering Applications of Bio-Inspired Artificial Neural Networks [[electronic resource] ] : International Work-Conference on Artificial and Natural Neural Networks, IWANN'99, Alicante, Spain, June 2-4, 1999, Proceedings, Volume II / / edited by Jose Mira, Juan V. Sanchez-Andres |
| Edizione | [1st ed. 1999.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 1999 |
| Descrizione fisica | 1 online resource (XLVI, 912 p.) |
| Disciplina | 006.3 |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico |
Artificial intelligence
Computers Optical data processing Computer organization Computational complexity Artificial Intelligence Computation by Abstract Devices Image Processing and Computer Vision Computer Systems Organization and Communication Networks Complexity |
| ISBN | 3-540-48772-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | A unified model for the simulation of artificial and biology-oriented neural networks -- Weight freezing in constructive neural networks: A novel approach -- Can general purpose micro-processors simulate neural networks in real-time? -- Large neural net simulation under Beowulf-like systems -- A constructive cascade network with adaptive regularisation -- An agent-based operational model for hybrid connectionist-symbolic learning -- Optimal discrete recombination: Hybridising evolution strategies with the A algorithm -- Extracting rules from artificial neural networks with kernel-based representations -- Rule improvement through decision boundary detection using sensitivity analysis -- The role of dynamic reconfiguration for implementing artificial neural networks models in programmable hardware -- An associative neural network and its special purpose pipeline architecture in image analysis -- Effects of global perturbations on learning capability in a CMOS analogue implementation of synchronous Boltzmann machine -- Beta-CMOS artificial neuron and implementability limits -- Using on-line arithmetic and reconfiguration for neuroprocessor implementation -- Digital implementation of artificial neural networks: From VHDL description to FPGA implementation -- Hardware implementation using DSP's of the neurocontrol of a wheelchair -- Forward-backward parallelism in on-line backpropagation -- A VLSI approach for spike timing coding -- An artificial dendrite using active channels -- Analog electronic system for simulating biological neurons -- Neural addition and fibonacci numbers -- Adaptive cooperation between processors in a parallel Boltzmann machine implementation -- Adaptive Brain Interfaces -- Identifying mental tasks from spontaneous EEG: Signal representation and spatial analysis -- Independent component analysis of human brain waves -- EEG-based brain-computer interface using subject-specific spatial filters -- Multi-neural network approach for classification of brainstem evoked response auditory -- EEG-based cognitive task classification with ICA and neural networks -- Local pattern of synchronization in extraestriate networks during visual attention -- A bioinspired hierarchical system for speech recognition -- A neural network approach for the analysis of multineural recordings in retinal ganglion cells -- Challenges for a real-world information processing by means of real-time neural computation and real-conditions simulation -- A parametrizable design of the mechanical-neural transduction system of the auditory brainstem -- Development of a new space perception system for blind people, based on the creation of a virtual acoustic space -- Application of the Fuzzy Kohonen Clustering Network to biological macromolecules images classification -- Bayesian VQ image filtering design with fast adaption competitive neural networks -- Neural networks for coefficient prediction in wavelet image coders -- A neural network architecture for trademark image retrieval -- Improved automatic classification of biological particles from electron-microscopy images using genetic neural nets -- Pattern recognition using neural network based on multi-valued neurons -- Input pre-processing for transformation invariant pattern recognition -- Method for automatic karyotyping of human chromosomes based on the visual attention system -- Adaptive adjustment of the CNN output function to obtain contrast enhancement -- Application of ANN techniques to automated identification of bovine livestock -- An investigation into cellular neural networks internal dynamics applied to image processing -- Autopoiesis and image processing: Detection of structure and organization in images -- Preprocessing of radiological images: Comparison of the application of polynomic algorithms and artificial neural networks to the elimination of variations in background luminosity -- Feature extraction with an associative neural network and its application in industrial quality control -- Genetic algorithm based training for multilayer discrete-time cellular neural networks -- How to select the inputs for a multilayer feedforward network by using the training set -- Neural implementation of the JADE-algorithm -- Variable selection by recurrent neural networks. Application in structure activity relationship study of cephalosporins -- Optimal use of a trained neural network for input selection -- Applying evolution strategies to neural networks robot controller -- On virtual sensory coding: An analytical model of the endogenous representation -- Using temporal information in ANNs for the implementation of autonomous robot controllers -- Learning symbolic rules with a reactive with tags classifier system in robot navigation -- Small sample discrimination and professional performance assessment -- SOM based analysis of pulping process data -- Gradient descent learning algorithm for hierarchical neural networks: A case study in industrial quality -- Application of neural networks for automated X-ray image inspection in electronics manufacturing -- Forecasting financial time series through intrinsic dimension estimation and non-linear data projection -- Parametric characterization of hardness profiles of steels with neuro-wavelet networks -- Study of two ANN digital implementations of a radar detector candidate to an on-board satellite experiment -- Curvilinear component analysis for high-dimensional data representation: I. Theoretical aspects and practical use in the presence of noise -- Curvilinear Component Analysis for high-dimensional data representation: II. Examples of additional mapping constraints in specific applications -- Image motion analysis using scale space approximation and simulated annealing -- Blind inversion of Wiener systems -- Separation of speech signals for nonlinear mixtures -- Nonlinear blind source separation by pattern repulsion -- Text-to-text machine translation using the RECONTRA connectionist model -- An intelligent agent for brokering problem-solving knowledge -- A system for facilitating and enhancing web search -- Applying Ontology to the web: A case study -- How to find suitable ontologies using an ontology-based WWW broker -- Towards personalized distance learning on the web -- Visual knowledge engineering as a cognitive tool -- Optimizing web newspaper layout using simulated annealing -- Artificial neural network-based diagnostic system methodology -- Neural networks in automatic diagnosis malignant brain tumors -- A new evolutionary diagram: Application to BTGP and information retrieval -- Artificial neural networks as useful tools for the optimization of the relative offset between two consecutive sets of traffic lights -- ASGCS: A new self-organizing network for automatic selection of feature variables -- Adaptive hybrid speech coding with a MLP/LPC structure -- Neural predictive coding for speech signal -- Support vector machines for multi-class classification -- Self-organizing yprel network population for distributed classification problem solving -- An accurate measure for multilayer perceptron tolerance to additive weight deviations -- Fuzzy inputs and missing data in similarity-based heterogeneous neural networks -- A neural network approach for generating solar irradiation artificial series -- Color recipe specification in the textile print shop using radial basis function networks -- Predicting the speed of beer fermentation in laboratory and industrial scale. |
| Record Nr. | UNISA-996466139203316 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 1999 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Engineering Applications of Bio-Inspired Artificial Neural Networks [[electronic resource] ] : International Work-Conference on Artificial and Natural Neural Networks, IWANN'99, Alicante, Spain, June 2-4, 1999, Proceedings, Volume II / / edited by Jose Mira, Juan V. Sanchez-Andres
| Engineering Applications of Bio-Inspired Artificial Neural Networks [[electronic resource] ] : International Work-Conference on Artificial and Natural Neural Networks, IWANN'99, Alicante, Spain, June 2-4, 1999, Proceedings, Volume II / / edited by Jose Mira, Juan V. Sanchez-Andres |
| Edizione | [1st ed. 1999.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 1999 |
| Descrizione fisica | 1 online resource (XLVI, 912 p.) |
| Disciplina | 006.3 |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico |
Artificial intelligence
Computers Optical data processing Computer organization Computational complexity Artificial Intelligence Computation by Abstract Devices Image Processing and Computer Vision Computer Systems Organization and Communication Networks Complexity |
| ISBN | 3-540-48772-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | A unified model for the simulation of artificial and biology-oriented neural networks -- Weight freezing in constructive neural networks: A novel approach -- Can general purpose micro-processors simulate neural networks in real-time? -- Large neural net simulation under Beowulf-like systems -- A constructive cascade network with adaptive regularisation -- An agent-based operational model for hybrid connectionist-symbolic learning -- Optimal discrete recombination: Hybridising evolution strategies with the A algorithm -- Extracting rules from artificial neural networks with kernel-based representations -- Rule improvement through decision boundary detection using sensitivity analysis -- The role of dynamic reconfiguration for implementing artificial neural networks models in programmable hardware -- An associative neural network and its special purpose pipeline architecture in image analysis -- Effects of global perturbations on learning capability in a CMOS analogue implementation of synchronous Boltzmann machine -- Beta-CMOS artificial neuron and implementability limits -- Using on-line arithmetic and reconfiguration for neuroprocessor implementation -- Digital implementation of artificial neural networks: From VHDL description to FPGA implementation -- Hardware implementation using DSP's of the neurocontrol of a wheelchair -- Forward-backward parallelism in on-line backpropagation -- A VLSI approach for spike timing coding -- An artificial dendrite using active channels -- Analog electronic system for simulating biological neurons -- Neural addition and fibonacci numbers -- Adaptive cooperation between processors in a parallel Boltzmann machine implementation -- Adaptive Brain Interfaces -- Identifying mental tasks from spontaneous EEG: Signal representation and spatial analysis -- Independent component analysis of human brain waves -- EEG-based brain-computer interface using subject-specific spatial filters -- Multi-neural network approach for classification of brainstem evoked response auditory -- EEG-based cognitive task classification with ICA and neural networks -- Local pattern of synchronization in extraestriate networks during visual attention -- A bioinspired hierarchical system for speech recognition -- A neural network approach for the analysis of multineural recordings in retinal ganglion cells -- Challenges for a real-world information processing by means of real-time neural computation and real-conditions simulation -- A parametrizable design of the mechanical-neural transduction system of the auditory brainstem -- Development of a new space perception system for blind people, based on the creation of a virtual acoustic space -- Application of the Fuzzy Kohonen Clustering Network to biological macromolecules images classification -- Bayesian VQ image filtering design with fast adaption competitive neural networks -- Neural networks for coefficient prediction in wavelet image coders -- A neural network architecture for trademark image retrieval -- Improved automatic classification of biological particles from electron-microscopy images using genetic neural nets -- Pattern recognition using neural network based on multi-valued neurons -- Input pre-processing for transformation invariant pattern recognition -- Method for automatic karyotyping of human chromosomes based on the visual attention system -- Adaptive adjustment of the CNN output function to obtain contrast enhancement -- Application of ANN techniques to automated identification of bovine livestock -- An investigation into cellular neural networks internal dynamics applied to image processing -- Autopoiesis and image processing: Detection of structure and organization in images -- Preprocessing of radiological images: Comparison of the application of polynomic algorithms and artificial neural networks to the elimination of variations in background luminosity -- Feature extraction with an associative neural network and its application in industrial quality control -- Genetic algorithm based training for multilayer discrete-time cellular neural networks -- How to select the inputs for a multilayer feedforward network by using the training set -- Neural implementation of the JADE-algorithm -- Variable selection by recurrent neural networks. Application in structure activity relationship study of cephalosporins -- Optimal use of a trained neural network for input selection -- Applying evolution strategies to neural networks robot controller -- On virtual sensory coding: An analytical model of the endogenous representation -- Using temporal information in ANNs for the implementation of autonomous robot controllers -- Learning symbolic rules with a reactive with tags classifier system in robot navigation -- Small sample discrimination and professional performance assessment -- SOM based analysis of pulping process data -- Gradient descent learning algorithm for hierarchical neural networks: A case study in industrial quality -- Application of neural networks for automated X-ray image inspection in electronics manufacturing -- Forecasting financial time series through intrinsic dimension estimation and non-linear data projection -- Parametric characterization of hardness profiles of steels with neuro-wavelet networks -- Study of two ANN digital implementations of a radar detector candidate to an on-board satellite experiment -- Curvilinear component analysis for high-dimensional data representation: I. Theoretical aspects and practical use in the presence of noise -- Curvilinear Component Analysis for high-dimensional data representation: II. Examples of additional mapping constraints in specific applications -- Image motion analysis using scale space approximation and simulated annealing -- Blind inversion of Wiener systems -- Separation of speech signals for nonlinear mixtures -- Nonlinear blind source separation by pattern repulsion -- Text-to-text machine translation using the RECONTRA connectionist model -- An intelligent agent for brokering problem-solving knowledge -- A system for facilitating and enhancing web search -- Applying Ontology to the web: A case study -- How to find suitable ontologies using an ontology-based WWW broker -- Towards personalized distance learning on the web -- Visual knowledge engineering as a cognitive tool -- Optimizing web newspaper layout using simulated annealing -- Artificial neural network-based diagnostic system methodology -- Neural networks in automatic diagnosis malignant brain tumors -- A new evolutionary diagram: Application to BTGP and information retrieval -- Artificial neural networks as useful tools for the optimization of the relative offset between two consecutive sets of traffic lights -- ASGCS: A new self-organizing network for automatic selection of feature variables -- Adaptive hybrid speech coding with a MLP/LPC structure -- Neural predictive coding for speech signal -- Support vector machines for multi-class classification -- Self-organizing yprel network population for distributed classification problem solving -- An accurate measure for multilayer perceptron tolerance to additive weight deviations -- Fuzzy inputs and missing data in similarity-based heterogeneous neural networks -- A neural network approach for generating solar irradiation artificial series -- Color recipe specification in the textile print shop using radial basis function networks -- Predicting the speed of beer fermentation in laboratory and industrial scale. |
| Record Nr. | UNINA-9910767558203321 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 1999 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
From Natural to Artificial Neural Computation [[electronic resource] ] : International Workshop on Artificial Neural Networks, Malaga-Torremolinos, Spain, June 7 – 9, 1995 Proceedings / / edited by Jose Mira, Francisco Sandoval
| From Natural to Artificial Neural Computation [[electronic resource] ] : International Workshop on Artificial Neural Networks, Malaga-Torremolinos, Spain, June 7 – 9, 1995 Proceedings / / edited by Jose Mira, Francisco Sandoval |
| Edizione | [1st ed. 1995.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 1995 |
| Descrizione fisica | 1 online resource (XVIII, 1154 p.) |
| Disciplina | 006.3 |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico |
Artificial intelligence
Computers Microprocessors Computer communication systems Numerical analysis Pattern recognition Artificial Intelligence Computation by Abstract Devices Processor Architectures Computer Communication Networks Numerical Analysis Pattern Recognition |
| ISBN | 3-540-49288-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Are there universal principles of brain computation? -- Modeling cortical networks -- Cooperative organization of connectivity patterns and receptive fields in the visual pathway: application to adaptive tresholding -- Neurobiological inspiration for the architecture and functioning of cooperating neural networks -- Synaptic modulation based artificial neural networks -- Self-organization of cortical receptive fields and columnar structures in a Hebb-trained neural network -- An analytical solution of the compartmental model for use in local learning in artificial neural networks -- Should ANN be ANGN? -- Modeling retinal high and low contrast sensitivity filters -- Neural micro-structures three simple models -- Adaptive hierarchical structures -- Optimal range of input resistance in the oscillatory behavior of the pancreatic ?-cell -- A computational model of periodic-pattern-selective cells -- Modeling and analysis of some neural mechanisms for the genesis and control of respiratory pattern -- A neural network model for plasticity in adult striate cortex -- Regenerative-type neural interface -- New perspectives in auditory coding: Bases for a new cochlear behavioural model -- Nervous system as a closed neuronal network: behavioral and cognitive consequences -- Local accumulation of persistent activity at synaptic level: Application to motion analysis -- High Order Boltzmann Machines with continuous units: Some experimental results -- An adaptive control model of a locomotion by the central pattern generator -- Self-consistent neural receptive fields -- A simple probabilistic neural model producing multimodal ISHs -- An associative neural network to model the developing mammalian hippocampus -- The implementation of propositional logic in random neural networks -- A learning rule for extracting temporal invariances -- The influence of the sigmoid function parameters on the speed of backpropagation learning -- General transient length upper bound for recurrent neural networks -- On some methods in neuromathematics (or the development of mathematical methods for the description of structure and function in neurons) -- Logistic networks with DNA-like encoding and interactions -- A review on the stochastic firing behaviour of real neurons and how it can be modelled -- The BP-?L1 algorithm: Non-chaotic and accelerated learning in a MLP network -- Analysis of pruning in backpropagation networks for artificial and real world mapping problems -- Oscillatory networks with Hebbian matrix of connections -- A new algorithm for implementing a recursive neural network -- Visual information processing from the viewpoint of symbolic operations -- Dentritic computation in the brain -- Stochastic neuronal models with realistic synaptic inputs and oscillatory inputs -- A neural paradigm for controlling autonomous systems with reflex behaviour and learning capability -- Fast automatic architecture selection in RBF networks -- Collective behaviour of a chain of Hopfield subnetworks interconnected unidirectionally -- A comparative study of three neural networks that use soft competition -- Neural networks and genetic algorithms for the attitude control problem -- Self-organising Artifical Neural Networks -- A distributed classifier based on Yprel networks cooperation -- A fractal, selforganizing map with partially chaotic neurons -- Multiple self-organizing maps for supervised learning -- An application of the saturated attractor analysis to three typical models -- Learning in evolutive neural architectures: An ill-posed problem? -- Automatic scaling using gamma learning for feedforward neural networks -- Determining the significance of input parameters using sensitivity analysis -- Multi-valued neurons: Learning, networks, application to image recognition and extrapolation of temporal series -- Individual evolutionary algorithm and its application to learning of nearest neighbor based MLP -- A practical view of suboptimal Bayesian classification with radial Gaussian kernels -- Schema based learning & learning to Detour -- Neurons with continuous varying activation in self-organizing maps -- Improving back-propagation: Epsilon-back-propagation -- Finite State Automata and Connectionist Machines: A survey -- Learning transformed prototypes (LTP) — A statistical pattern classification technique of neural networks -- Fuzzy function estimators as basis on learning from experience -- Connectionists and statisticians, friends or foes? -- Unsupervised neural networks for speech perception with Cochlear Implant systems for the profoundly deaf -- Obstacle avoidance by means of an operant conditioning model -- Qualitative approach to gradient based learning algorithms -- Character recognition with neural assemblies -- Learning by attentional scanning -- The synthesis of the ranked neural networks applying genetic algorithm with the dynamic probability of mutation -- Global versus local Heuristic Terminal Attractor -- Dynamic learning of radial bases functions for fuzzy clustering -- Incremental learning with a stopping criterion experimental results -- Learning algorithm with gaussian membership function for Fuzzy RBF Neural Networks -- Neural network initialization -- Bidirectional Neural Networks reduce generalisation error -- Balancing bias and variance: Network topology and pattern set reduction techniques -- Priming an artificial neural classifier -- Artificial neuroconsciousness an update -- Physical and linguistic problems in the modelling of consciousness by neural networks -- A neural network model for the velocity vector of an object and its consistency with psychological phenomena -- Implementation and evaluation of a Relevance Feedback device based on Neural Networks -- Second-order recurrent neural networks can learn regular grammars from noisy strings -- Extracting DNF rules from artificial neural networks -- Dynamic symbol grounding, state construction and the problem of teleology -- Analysis of industrial economics by means of neural nets -- Effects of spatial frequency and stimulus size on the orientation sensitivity of humans -- Object oriented design of a simulator for large BP Neural Networks -- Introducing XSim: A neural network simulator that incorporates biological parameters -- NETTOOL: A hybrid connectionist-symbolic development environment -- EL-SIM: a development environment for neuro-fuzzy intelligent controllers -- Packlib, an interactive environment to develop modular software for data processing -- NSL — Neural Simulation Language -- Low-cost accelerator for the simulation of Cellular Neural Networks -- A VLSI system for neural Bayesian and LVQ classification -- An associative processor dedicated to classification by neural methods -- Hardware-Oriented models for VLSI implementation of Self-Organizing Maps -- Hardware requirements for spike-processing neural networks -- A VLSI approach to the implementation of additive and shunting neural networks -- A low-power analog implementation of Cellular Neural Networks -- Asynchonously parallel Boltzmann Machines mapped onto distributed-memory multiprocessors -- A coprocessor card for fast neural network emulation -- Digital hardware implementation of ROI incremental algorithms -- Comparing implementations of Radial Basis Function Neural Networks on three parallel machines -- Implementing Radial Basis Functions Neural Networks on the systolic MANTRA machine -- A mixed parallel-sequential SHNN for large networks -- A modular VLSI architecture for neural networks implementation -- A massively parallel neurocomputer with a reconfigurable arithmetical unit -- An all-optical forward propagation multilayer neural network -- A VLSI current mode synapse chip -- Optimal mapping of neural networks onto FPGAs -- A CPWM synapsis for Weighted Radial Basis Functions -- Test pattern generation for analog circuits using neural networks and evolutive algorithms -- About some perception problems in neural networks -- Optimization neural networks for image segmentation -- Segmentation of range images: A neural network approach -- A neural architecture for preattentive segmentation of sewage pipes video images -- A CNN model for grey scale image processing -- Kohonen's self-organizing maps for contour segmentation of gray level and color images -- A geometrical based procedure for source separation mapped to a neural network -- Quasi-optimum combination of multilayer perceptrons for adaptive multiclass pattern recognition -- A text recognition system based on a Neural Network and on a Deformed System -- Simultaneous recognition of multiple objects using the MEM model -- On-line handwritten character recognition by a hybrid method based on neural networks and pattern matching -- Analysis and application of the store neural model in recognizing handwritted symbols -- An adaptative orthogonal asociative memory and its application to character recognition -- Texture classification on real time using semi-cover vector and an orthogonal neural network -- An architecture for texture segmentation: from energy features to region detection -- A lattice-based Time-Delay Neural Network for speech processing -- Acquisition of internal representation by learning of identity-mapping using overload learning -- A multiacuity connectionist model for local speed estimation -- Using Artificial Neural Networks for ultrasonic signals processing from simple geometric shapes -- A hierarchical neural network for mobile visual tracking with a robot head -- Short-term load forecasting using neural nets -- Image compression using feedforward neural networks — Hierarchical approach -- Neural approaches to robot control: Four representative applications -- On line identification of causal relationships between variables in the feed water system of a nuclear power plant -- Dynamic neural units for nonlinear dynamic systems identification -- Optimal identification using feed-forward neural networks -- . |
| Record Nr. | UNISA-996466125303316 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 1995 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
