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Artificial Neural Networks and Neural Information Processing — ICANN/ICONIP 2003 [[electronic resource] ] : Joint International Conference ICANN/ICONIP 2003, Istanbul, Turkey, June 26–29, 2003, Proceedings / / edited by Okyay Kaynak, Ethem Alpaydin, Erkki Oja, Lei Xu
| Artificial Neural Networks and Neural Information Processing — ICANN/ICONIP 2003 [[electronic resource] ] : Joint International Conference ICANN/ICONIP 2003, Istanbul, Turkey, June 26–29, 2003, Proceedings / / edited by Okyay Kaynak, Ethem Alpaydin, Erkki Oja, Lei Xu |
| Edizione | [1st ed. 2003.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2003 |
| Descrizione fisica | 1 online resource (XLIV, 1194 p. 909 illus.) |
| Disciplina | 006.3/2 |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico |
Computers
Computer communication systems Special purpose computers Database management Artificial intelligence Computation by Abstract Devices Science, Humanities and Social Sciences, multidisciplinary Computer Communication Networks Special Purpose and Application-Based Systems Database Management Artificial Intelligence |
| ISBN | 3-540-44989-2 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Learning Algorithms -- SVM and Kernel Methods -- Statistical Data Analysis -- Pattern Recognition -- Vision -- Speech Recognition -- Robotics and Control -- Signal Processing -- Time-Series Prediction -- Intelligent and Hybrid Systems -- Neural Network Hardware -- Cognitive Science -- Computational Neuroscience -- Special Sessions -- Complex-Valued Neural Networks: Theories and Applications -- Computational Intelligence and Applications -- Emotional Recognition -- Neural Networks for Bio-informatics Applications. |
| Record Nr. | UNINA-9910144049603321 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2003 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Artificial Neural Networks and Neural Information Processing — ICANN/ICONIP 2003 [[electronic resource] ] : Joint International Conference ICANN/ICONIP 2003, Istanbul, Turkey, June 26–29, 2003, Proceedings / / edited by Okyay Kaynak, Ethem Alpaydin, Erkki Oja, Lei Xu
| Artificial Neural Networks and Neural Information Processing — ICANN/ICONIP 2003 [[electronic resource] ] : Joint International Conference ICANN/ICONIP 2003, Istanbul, Turkey, June 26–29, 2003, Proceedings / / edited by Okyay Kaynak, Ethem Alpaydin, Erkki Oja, Lei Xu |
| Edizione | [1st ed. 2003.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2003 |
| Descrizione fisica | 1 online resource (XLIV, 1194 p. 909 illus.) |
| Disciplina | 006.3/2 |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico |
Computers
Computer communication systems Special purpose computers Database management Artificial intelligence Computation by Abstract Devices Science, Humanities and Social Sciences, multidisciplinary Computer Communication Networks Special Purpose and Application-Based Systems Database Management Artificial Intelligence |
| ISBN | 3-540-44989-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Learning Algorithms -- SVM and Kernel Methods -- Statistical Data Analysis -- Pattern Recognition -- Vision -- Speech Recognition -- Robotics and Control -- Signal Processing -- Time-Series Prediction -- Intelligent and Hybrid Systems -- Neural Network Hardware -- Cognitive Science -- Computational Neuroscience -- Special Sessions -- Complex-Valued Neural Networks: Theories and Applications -- Computational Intelligence and Applications -- Emotional Recognition -- Neural Networks for Bio-informatics Applications. |
| Record Nr. | UNISA-996466159603316 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2003 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Artificial Neural Networks — ICANN 2002 : International Conference, Madrid, Spain, August 28–30, 2002. Proceedings / / edited by Jose R. Dorronsoro
| Artificial Neural Networks — ICANN 2002 : International Conference, Madrid, Spain, August 28–30, 2002. Proceedings / / edited by Jose R. Dorronsoro |
| Edizione | [1st ed. 2002.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2002 |
| Descrizione fisica | 1 online resource (LVI, 1384 p. 813 illus.) |
| Disciplina | 006.3/2 |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico |
Artificial intelligence
Computers Pattern recognition Optical data processing Bioinformatics Neurosciences Artificial Intelligence Computation by Abstract Devices Pattern Recognition Image Processing and Computer Vision |
| ISBN | 3-540-46084-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Computational Neuroscience -- Connectionist Cognitive Science -- Data Analysis and Pattern Recognition -- Kernel Methods -- Robotics and Control -- Selforganization -- Signal and Time Series Analysis -- Vision and Image Processing -- Special Session: Adaptivity in Neural Computation -- Special Session: Recurrent Neural Systems. |
| Record Nr. | UNISA-996466337503316 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2002 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Artificial Neural Networks — ICANN 2002 : International Conference, Madrid, Spain, August 28–30, 2002. Proceedings / / edited by Jose R. Dorronsoro
| Artificial Neural Networks — ICANN 2002 : International Conference, Madrid, Spain, August 28–30, 2002. Proceedings / / edited by Jose R. Dorronsoro |
| Edizione | [1st ed. 2002.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2002 |
| Descrizione fisica | 1 online resource (LVI, 1384 p. 813 illus.) |
| Disciplina | 006.3/2 |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico |
Artificial intelligence
Computers Pattern recognition Optical data processing Bioinformatics Neurosciences Artificial Intelligence Computation by Abstract Devices Pattern Recognition Image Processing and Computer Vision |
| ISBN | 3-540-46084-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Computational Neuroscience -- Connectionist Cognitive Science -- Data Analysis and Pattern Recognition -- Kernel Methods -- Robotics and Control -- Selforganization -- Signal and Time Series Analysis -- Vision and Image Processing -- Special Session: Adaptivity in Neural Computation -- Special Session: Recurrent Neural Systems. |
| Record Nr. | UNINA-9910143878103321 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2002 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Artificial Neural Networks: Biological Inspirations – ICANN 2005 [[electronic resource] ] : 15th International Conference, Warsaw, Poland, September 11-15, 2005, Proceedings, Part I / / edited by Wlodzislaw Duch, Erkki Oja, Slawomir Zadrozny
| Artificial Neural Networks: Biological Inspirations – ICANN 2005 [[electronic resource] ] : 15th International Conference, Warsaw, Poland, September 11-15, 2005, Proceedings, Part I / / edited by Wlodzislaw Duch, Erkki Oja, Slawomir Zadrozny |
| Edizione | [1st ed. 2005.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2005 |
| Descrizione fisica | 1 online resource (XXXII, 708 p.) |
| Disciplina | 006.3/2 |
| Collana | Theoretical Computer Science and General Issues |
| Soggetto topico |
Artificial intelligence
Computer science Pattern recognition systems Application software Database management Neurosciences Artificial Intelligence Theory of Computation Automated Pattern Recognition Computer and Information Systems Applications Database Management Neuroscience |
| ISBN | 3-540-28754-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Modeling the Brain and Cognitive Functions -- Special Session: The Development of Cognitive Powers in Embodied Systems -- Spiking Neural Networks -- Associative Memory Models -- Models of Biological Functions -- Special Session: Projects in the Area of NeuroIT -- Evolutionary and Other Biological Inspirations -- Self-organizing Maps and Their Applications -- Computer Vision -- Face Recognition and Detection -- Sound and Speech Recognition -- Bioinformatics -- Biomedical Applications -- Special Session: Information-Theoretic Concepts in Biomedical Data Analysis. |
| Record Nr. | UNISA-996465381603316 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2005 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Artificial Neural Networks: Biological Inspirations – ICANN 2005 [[electronic resource] ] : 15th International Conference, Warsaw, Poland, September 11-15, 2005, Proceedings, Part I / / edited by Wlodzislaw Duch, Erkki Oja, Slawomir Zadrozny
| Artificial Neural Networks: Biological Inspirations – ICANN 2005 [[electronic resource] ] : 15th International Conference, Warsaw, Poland, September 11-15, 2005, Proceedings, Part I / / edited by Wlodzislaw Duch, Erkki Oja, Slawomir Zadrozny |
| Edizione | [1st ed. 2005.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2005 |
| Descrizione fisica | 1 online resource (XXXII, 708 p.) |
| Disciplina | 006.3/2 |
| Collana | Theoretical Computer Science and General Issues |
| Soggetto topico |
Artificial intelligence
Computer science Pattern recognition systems Application software Database management Neurosciences Artificial Intelligence Theory of Computation Automated Pattern Recognition Computer and Information Systems Applications Database Management Neuroscience |
| ISBN | 3-540-28754-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Modeling the Brain and Cognitive Functions -- Special Session: The Development of Cognitive Powers in Embodied Systems -- Spiking Neural Networks -- Associative Memory Models -- Models of Biological Functions -- Special Session: Projects in the Area of NeuroIT -- Evolutionary and Other Biological Inspirations -- Self-organizing Maps and Their Applications -- Computer Vision -- Face Recognition and Detection -- Sound and Speech Recognition -- Bioinformatics -- Biomedical Applications -- Special Session: Information-Theoretic Concepts in Biomedical Data Analysis. |
| Record Nr. | UNINA-9910484155603321 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2005 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
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 | ||
| ||
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 computation / / Ehud Lamm, Ron Unger
| Biological computation / / Ehud Lamm, Ron Unger |
| Autore | Lamm Ehud |
| Pubbl/distr/stampa | Boca Raton, : CRC Press, ©2011 |
| Descrizione fisica | 1 online resource (332 p.) |
| Disciplina | 006.3/2 |
| Altri autori (Persone) | UngerRon |
| Collana |
Chapman & Hall/CRC Mathematical and Computational Biology Series
A Chapman & Hall Book |
| Soggetto topico | Biocomputers |
| Soggetto genere / forma | Electronic books. |
| ISBN |
0-429-13854-7
1-4200-8796-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Front Cover; Table of Contents; Preface; Chapter 1: Introduction and Biological Background; Chapter 2: Cellular Automata; Chapter 3: Evolutionary Computation; Chapter 4: Artificial Neural Networks; Chapter 5: Molecular Computation; Chapter 6: The Never-Ending Story: Additional Topics at the Interface between Biology and Computation; Back Cover |
| Record Nr. | UNINA-9910463837603321 |
Lamm Ehud
|
||
| Boca Raton, : CRC Press, ©2011 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Biological computation / / Ehud Lamm, Ron Unger
| Biological computation / / Ehud Lamm, Ron Unger |
| Autore | Lamm Ehud |
| Pubbl/distr/stampa | Boca Raton, : CRC Press, ©2011 |
| Descrizione fisica | 1 online resource (332 p.) |
| Disciplina | 006.3/2 |
| Altri autori (Persone) | UngerRon |
| Collana |
Chapman & Hall/CRC Mathematical and Computational Biology Series
A Chapman & Hall Book |
| Soggetto topico | Biocomputers |
| ISBN |
0-429-13854-7
1-4200-8796-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Front Cover; Table of Contents; Preface; Chapter 1: Introduction and Biological Background; Chapter 2: Cellular Automata; Chapter 3: Evolutionary Computation; Chapter 4: Artificial Neural Networks; Chapter 5: Molecular Computation; Chapter 6: The Never-Ending Story: Additional Topics at the Interface between Biology and Computation; Back Cover |
| Record Nr. | UNINA-9910788060703321 |
|
Lamm Ehud
|
||
| Boca Raton, : CRC Press, ©2011 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
