Advances in Computational Intelligence [[electronic resource] ] : 12th International Work-Conference on Artificial Neural Networks, IWANN 2013, Puerto de la Cruz, Tenerife, Spain, June 12-14, 2013, Proceedings, Part I / / edited by Ignacio Rojas, Gonzalo Joya, Joan Cabestany |
Edizione | [1st ed. 2013.] |
Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2013 |
Descrizione fisica | 1 online resource (XXVIII, 661 p. 228 illus.) |
Disciplina | 006.3 |
Collana | Theoretical Computer Science and General Issues |
Soggetto topico |
Bioinformatics
Pattern recognition systems Artificial intelligence Data mining Computer science Computational and Systems Biology Automated Pattern Recognition Artificial Intelligence Data Mining and Knowledge Discovery Models of Computation |
ISBN | 3-642-38679-2 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | It’s as Easy as ABC: Introducing Anthropology-Based Computing -- Extreme Learning Machine: A Robust Modeling Technique? Yes! -- A Novel Framework to Design Fuzzy Rule-Based Ensembles Using Diversity Induction and Evolutionary Algorithms-Based Classifier Selection and Fusion -- Using Nonlinear Dimensionality Reduction to Visualize Classifiers -- Which Dissimilarity Is to Be Used When Extracting Typologies in Sequence Analysis? A Comparative Study -- Implementation of the C-Mantec Neural Network Constructive Algorithm in an Arduino Uno Microcontroller -- A Constructive Neural Network to Predict Pitting Corrosion Status of Stainless Steel -- Robust Sensor and Actuator Fault Diagnosis with GMDH Neural Networks -- Diffusion Methods for Wind Power Ramp Detection -- Computational Study Based on Supervised Neural Architectures for Fluorescence Detection of Fungicides -- Study of Alternative Strategies to Selection of Peer in P2P Wireless Mesh Networks -- A Cloud-Based Neural Network Simulation Environment -- Performance Evaluation over Indoor Channels of an Unsupervised Decision-Aided Method for OSTBC Systems -- On Second Language Tutoring through Womb Grammars -- Simulated Annealing for Real-Time Vertical-Handoff in Wireless Networks -- Ant Colony Optimization Inspired Algorithm for 3D Object Segmentation -- Alternative OVA Proposals for Cooperative Competitive RBFN Design in Classification Tasks -- A Genetic Algorithms-Based Approach for Optimizing Similarity Aggregation in Ontology Matching -- Self-organized Learning by Self-Enforcing Networks. |
Record Nr. | UNISA-996465860703316 |
Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2013 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. di Salerno | ||
|
Advances in Computational Intelligence [[electronic resource] ] : 12th International Work-Conference on Artificial Neural Networks, IWANN 2013, Puerto de la Cruz, Tenerife, Spain, June 12-14, 2013, Proceedings, Part II / / edited by Ignacio Rojas, Gonzalo Joya, Joan Cabestany |
Edizione | [1st ed. 2013.] |
Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2013 |
Descrizione fisica | 1 online resource (XXVIII, 517 p. 180 illus.) |
Disciplina | 570.285 |
Collana | Theoretical Computer Science and General Issues |
Soggetto topico |
Bioinformatics
Pattern recognition systems Artificial intelligence Data mining Computer science Computational and Systems Biology Automated Pattern Recognition Artificial Intelligence Data Mining and Knowledge Discovery Models of Computation |
ISBN | 3-642-38682-2 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | It’s as Easy as ABC: Introducing Anthropology-Based Computing -- Extreme Learning Machine: A Robust Modeling Technique? Yes! -- A Novel Framework to Design Fuzzy Rule-Based Ensembles Using Diversity Induction and Evolutionary Algorithms-Based Classifier Selection and Fusion -- Using Nonlinear Dimensionality Reduction to Visualize Classifiers -- Which Dissimilarity Is to Be Used When Extracting Typologies in Sequence Analysis? A Comparative Study -- Implementation of the C-Mantec Neural Network Constructive Algorithm in an Arduino Uno Microcontroller -- A Constructive Neural Network to Predict Pitting Corrosion Status of Stainless Steel -- Robust Sensor and Actuator Fault Diagnosis with GMDH Neural Networks -- Diffusion Methods for Wind Power Ramp Detection -- Computational Study Based on Supervised Neural Architectures for Fluorescence Detection of Fungicides -- Study of Alternative Strategies to Selection of Peer in P2P Wireless Mesh Networks -- A Cloud-Based Neural Network Simulation Environment -- Performance Evaluation over Indoor Channels of an Unsupervised Decision-Aided Method for OSTBC Systems -- On Second Language Tutoring through Womb Grammars -- Simulated Annealing for Real-Time Vertical-Handoff in Wireless Networks -- Ant Colony Optimization Inspired Algorithm for 3D Object Segmentation -- Alternative OVA Proposals for Cooperative Competitive RBFN Design in Classification Tasks -- A Genetic Algorithms-Based Approach for Optimizing Similarity Aggregation in Ontology Matching -- Self-organized Learning by Self-Enforcing Networks. |
Record Nr. | UNISA-996465857103316 |
Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2013 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. di Salerno | ||
|
Advances in Computational Intelligence : 12th International Work-Conference on Artificial Neural Networks, IWANN 2013, Puerto de la Cruz, Tenerife, Spain, June 12-14, 2013, Proceedings, Part II / / edited by Ignacio Rojas, Gonzalo Joya, Joan Cabestany |
Edizione | [1st ed. 2013.] |
Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2013 |
Descrizione fisica | 1 online resource (XXVIII, 517 p. 180 illus.) |
Disciplina | 570.285 |
Collana | Theoretical Computer Science and General Issues |
Soggetto topico |
Bioinformatics
Pattern recognition systems Artificial intelligence Data mining Computer science Computational and Systems Biology Automated Pattern Recognition Artificial Intelligence Data Mining and Knowledge Discovery Models of Computation |
ISBN | 3-642-38682-2 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | It’s as Easy as ABC: Introducing Anthropology-Based Computing -- Extreme Learning Machine: A Robust Modeling Technique? Yes! -- A Novel Framework to Design Fuzzy Rule-Based Ensembles Using Diversity Induction and Evolutionary Algorithms-Based Classifier Selection and Fusion -- Using Nonlinear Dimensionality Reduction to Visualize Classifiers -- Which Dissimilarity Is to Be Used When Extracting Typologies in Sequence Analysis? A Comparative Study -- Implementation of the C-Mantec Neural Network Constructive Algorithm in an Arduino Uno Microcontroller -- A Constructive Neural Network to Predict Pitting Corrosion Status of Stainless Steel -- Robust Sensor and Actuator Fault Diagnosis with GMDH Neural Networks -- Diffusion Methods for Wind Power Ramp Detection -- Computational Study Based on Supervised Neural Architectures for Fluorescence Detection of Fungicides -- Study of Alternative Strategies to Selection of Peer in P2P Wireless Mesh Networks -- A Cloud-Based Neural Network Simulation Environment -- Performance Evaluation over Indoor Channels of an Unsupervised Decision-Aided Method for OSTBC Systems -- On Second Language Tutoring through Womb Grammars -- Simulated Annealing for Real-Time Vertical-Handoff in Wireless Networks -- Ant Colony Optimization Inspired Algorithm for 3D Object Segmentation -- Alternative OVA Proposals for Cooperative Competitive RBFN Design in Classification Tasks -- A Genetic Algorithms-Based Approach for Optimizing Similarity Aggregation in Ontology Matching -- Self-organized Learning by Self-Enforcing Networks. |
Record Nr. | UNINA-9910483208503321 |
Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2013 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Advances in Computational Intelligence : 12th International Work-Conference on Artificial Neural Networks, IWANN 2013, Puerto de la Cruz, Tenerife, Spain, June 12-14, 2013, Proceedings, Part I / / edited by Ignacio Rojas, Gonzalo Joya, Joan Cabestany |
Edizione | [1st ed. 2013.] |
Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2013 |
Descrizione fisica | 1 online resource (XXVIII, 661 p. 228 illus.) |
Disciplina | 006.3 |
Collana | Theoretical Computer Science and General Issues |
Soggetto topico |
Bioinformatics
Pattern recognition systems Artificial intelligence Data mining Computer science Computational and Systems Biology Automated Pattern Recognition Artificial Intelligence Data Mining and Knowledge Discovery Models of Computation |
ISBN | 3-642-38679-2 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | It’s as Easy as ABC: Introducing Anthropology-Based Computing -- Extreme Learning Machine: A Robust Modeling Technique? Yes! -- A Novel Framework to Design Fuzzy Rule-Based Ensembles Using Diversity Induction and Evolutionary Algorithms-Based Classifier Selection and Fusion -- Using Nonlinear Dimensionality Reduction to Visualize Classifiers -- Which Dissimilarity Is to Be Used When Extracting Typologies in Sequence Analysis? A Comparative Study -- Implementation of the C-Mantec Neural Network Constructive Algorithm in an Arduino Uno Microcontroller -- A Constructive Neural Network to Predict Pitting Corrosion Status of Stainless Steel -- Robust Sensor and Actuator Fault Diagnosis with GMDH Neural Networks -- Diffusion Methods for Wind Power Ramp Detection -- Computational Study Based on Supervised Neural Architectures for Fluorescence Detection of Fungicides -- Study of Alternative Strategies to Selection of Peer in P2P Wireless Mesh Networks -- A Cloud-Based Neural Network Simulation Environment -- Performance Evaluation over Indoor Channels of an Unsupervised Decision-Aided Method for OSTBC Systems -- On Second Language Tutoring through Womb Grammars -- Simulated Annealing for Real-Time Vertical-Handoff in Wireless Networks -- Ant Colony Optimization Inspired Algorithm for 3D Object Segmentation -- Alternative OVA Proposals for Cooperative Competitive RBFN Design in Classification Tasks -- A Genetic Algorithms-Based Approach for Optimizing Similarity Aggregation in Ontology Matching -- Self-organized Learning by Self-Enforcing Networks. |
Record Nr. | UNINA-9910483193303321 |
Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2013 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Advances in Computational Intelligence [[electronic resource] ] : 11th International Work-Conference on Artificial Neural Networks, IWANN 2011, Torremolinos-Málaga, Spain, June 8-10, 2011, Proceedings, Part II / / edited by Joan Cabestany, Ignacio Rojas, Gonzalo Joya |
Edizione | [1st ed. 2011.] |
Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2011 |
Descrizione fisica | 1 online resource (XXXVII, 690 p.) |
Disciplina | 570.285 |
Collana | Theoretical Computer Science and General Issues |
Soggetto topico |
Bioinformatics
Pattern recognition systems Artificial intelligence Data mining Computer science Computational and Systems Biology Automated Pattern Recognition Artificial Intelligence Data Mining and Knowledge Discovery Models of Computation |
ISBN | 3-642-21498-3 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNISA-996465630503316 |
Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2011 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. di Salerno | ||
|
Advances in Computational Intelligence [[electronic resource] ] : 11th International Work-Conference on Artificial Neural Networks, IWANN 2011, Torremolinos-Málaga, Spain, June 8-10, 2011, Proceedings, Part I / / edited by Joan Cabestany, Ignacio Rojas, Gonzalo Joya |
Edizione | [1st ed. 2011.] |
Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2011 |
Descrizione fisica | 1 online resource (XXXVII, 568 p.) |
Disciplina | 570.285 |
Collana | Theoretical Computer Science and General Issues |
Soggetto topico |
Bioinformatics
Pattern recognition systems Artificial intelligence Data mining Computer science Computational and Systems Biology Automated Pattern Recognition Artificial Intelligence Data Mining and Knowledge Discovery Models of Computation |
ISBN | 3-642-21501-7 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Pt. 1 -- |
Record Nr. | UNISA-996465632003316 |
Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2011 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. di Salerno | ||
|
Bio-inspired systems : computational and ambient intelligence: 10th international work-conference on artificial neural networks, IWANN 2009, Salamanca, Spain, June 10-12, 2009. proceedings.nPart I / / Joan Cabestany, Francisco Sandoval, Alberto Prieto, Juan M. Corchado (Eds.) |
Edizione | [1st ed. 2009.] |
Pubbl/distr/stampa | Berlin ; ; Heidelberg, : Springer-Verlag, 2009 |
Descrizione fisica | 1 online resource (LXVI, 1356 p.) |
Disciplina | 004 |
Altri autori (Persone) |
CabestanyJoan
CorchadoJuan M PrietoAlberto SandovalFrancisco |
Collana | Lecture Notes in Computer Science |
Soggetto topico |
Artificial intelligence
Bioinformatics Computer science Data mining Optical pattern recognition |
ISBN |
1-280-38305-4
9786613560964 3-642-02478-5 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | ger |
Nota di contenuto | Theoretical Foundations and Models -- Learning and Adaptation -- Self-organizing Networks, Methods and Applications -- Fuzzy Systems -- Evolutionary Computation and Genetic Algoritms -- Pattern Recognition -- Formal Languages in Linguistics -- Agents and Multi-agent on Intelligent Systems -- Brain-Computer Interface (BCI) -- Multiobjetive Optimization -- Robotics -- Bioinformatics -- Biomedical Applications -- Ambient Assisted Living (AAL) and Ambient Intelligence (AI) -- Other Applications. |
Record Nr. | UNINA-9910484085703321 |
Berlin ; ; Heidelberg, : Springer-Verlag, 2009 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Bio-Inspired Systems: Computational and Ambient Intelligence [[electronic resource] ] : 10th International Work-Conference on Artificial Neural Networks, IWANN 2009, Salamanca, Spain, June 10-12, 2009. Proceedings, Part I / / edited by Joan Cabestany, Francisco Sandoval, Alberto Prieto, Juan Manuel Corchado Rodríguez |
Edizione | [1st ed. 2009.] |
Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2009 |
Descrizione fisica | 1 online resource (LXVI, 1356 p.) |
Disciplina | 004 |
Collana | Theoretical Computer Science and General Issues |
Soggetto topico |
Bioinformatics
Pattern recognition systems Artificial intelligence Data mining Computer science Computational and Systems Biology Automated Pattern Recognition Artificial Intelligence Data Mining and Knowledge Discovery Models of Computation |
ISBN |
1-280-38305-4
9786613560964 3-642-02478-5 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Theoretical Foundations and Models -- Learning and Adaptation -- Self-organizing Networks, Methods and Applications -- Fuzzy Systems -- Evolutionary Computation and Genetic Algoritms -- Pattern Recognition -- Formal Languages in Linguistics -- Agents and Multi-agent on Intelligent Systems -- Brain-Computer Interface (BCI) -- Multiobjetive Optimization -- Robotics -- Bioinformatics -- Biomedical Applications -- Ambient Assisted Living (AAL) and Ambient Intelligence (AI) -- Other Applications. |
Record Nr. | UNISA-996465538303316 |
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 |
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 |
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 | ||
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