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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
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
Opac: Controlla la disponibilità qui
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
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
Opac: Controlla la disponibilità qui
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
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
Opac: Controlla la disponibilità qui
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
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
Opac: Controlla la disponibilità qui
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
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
Opac: Controlla la disponibilità qui
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
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
Opac: Controlla la disponibilità qui
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.)
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
Opac: Controlla la disponibilità qui
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
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
Opac: Controlla la disponibilità qui
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. UNINA-9910144921203321
Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 1997
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
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
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