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Produktbild: Advances in Neural Networks - ISNN 2005
Band 3496

Advances in Neural Networks - ISNN 2005 Second International Symposium on Neural Networks, Chongqing, China, May 30 - June 1, 2005, Proceedings, Part I

Aus der Reihe Theoretical Computer Science and General Issues

97,99 €

inkl. gesetzl. MwSt., Versandkostenfrei

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

17.05.2005

Herausgeber

Jun Wang + weitere

Verlag

Springer Berlin

Seitenzahl

1055

Maße (L/B/H)

23,6/15,4/6 cm

Gewicht

1641 g

Auflage

2005. 2005

Sprache

Englisch

ISBN

978-3-540-25912-1

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

17.05.2005

Herausgeber

Verlag

Springer Berlin

Seitenzahl

1055

Maße (L/B/H)

23,6/15,4/6 cm

Gewicht

1641 g

Auflage

2005. 2005

Sprache

Englisch

ISBN

978-3-540-25912-1

Herstelleradresse

Springer-Verlag GmbH
Heidelberger Platz 3
14197 Berlin
Deutschland
Email: sdc-bookservice@springer.com
Url: www.springer.com
Telephone: +49 30 827870
Fax: +49 30 8214091

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  • Produktbild: Advances in Neural Networks - ISNN 2005
  • Theoretical Analysis.- Population Coding, Bayesian Inference and Information Geometry.- One-Bit-Matching ICA Theorem, Convex-Concave Programming, and Combinatorial Optimization.- Dynamic Models for Intention (Goal-Directedness) Are Required by Truly Intelligent Robots.- Differences and Commonalities Between Connectionism and Symbolicism.- Pointwise Approximation for Neural Networks.- On the Universal Approximation Theorem of Fuzzy Neural Networks with Random Membership Function Parameters.- A Review: Relationship Between Response Properties of Visual Neurons and Advances in Nonlinear Approximation Theory.- Image Representation in Visual Cortex and High Nonlinear Approximation.- Generalization and Property Analysis of GENET.- On Stochastic Neutral Neural Networks.- Eigenanalysis of CMAC Neural Network.- A New Definition of Sensitivity for RBFNN and Its Applications to Feature Reduction.- Complexity of Error Hypersurfaces in Multilayer Perceptrons with General Multi-input and Multi-output Architecture.- Nonlinear Dynamical Analysis on Coupled Modified Fitzhugh-Nagumo Neuron Model.- Stability of Nonautonomous Recurrent Neural Networks with Time-Varying Delays.- Global Exponential Stability of Non-autonomous Neural Networks with Variable Delay.- A Generalized LMI-Based Approach to the Global Exponential Stability of Recurrent Neural Networks with Delay.- A Further Result for Exponential Stability of Neural Networks with Time-Varying Delays.- Improved Results for Exponential Stability of Neural Networks with Time-Varying Delays.- Global Exponential Stability of Recurrent Neural Networks with Infinite Time-Varying Delays and Reaction-Diffusion Terms.- Exponential Stability Analysis of Neural Networks with Multiple Time Delays.- Exponential Stability of Cohen-Grossberg Neural Networks with Delays.- Global Exponential Stability of Cohen-Grossberg Neural Networks with Time-Varying Delays and Continuously Distributed Delays.- Exponential Stability of Stochastic Cohen-Grossberg Neural Networks with Time-Varying Delays.- Exponential Stability of Fuzzy Cellular Neural Networks with Unbounded Delay.- Global Exponential Stability of Reaction-Diffusion Hopfield Neural Networks with Distributed Delays.- Global Exponential Stability of Delayed Impulsive Hopfield Type Neural Networks.- Global Exponential Stability of Hopfield Neural Networks with Impulsive Effects.- Global Exponential Stability of Discrete Time Hopfield Neural Networks with Delays.- Stability Analysis of Uncertain Neural Networks with Linear and Nonlinear Time Delays.- Robust Stability for Delayed Neural Networks with Nonlinear Perturbation.- Robust Stability Analysis of a Class of Hopfield Neural Networks with Multiple Delays.- Robust Stability of Interval Delayed Neural Networks.- Impulsive Robust Control of Interval Hopfield Neural Networks.- Global Attractivity of Cohen-Grossberg Model with Delays.- High-Order Hopfield Neural Networks.- Stability Analysis of Second Order Hopfield Neural Networks with Time Delays.- Convergence Analysis of Genetic Regulatory Networks Based on Nonlinear Measures.- Stability Conditions for Discrete Neural Networks in Partial Simultaneous Updating Mode.- Dynamic Behavior Analysis of Discrete Neural Networks with Delay.- Existence and Stability of Periodic Solution in a Class of Impulsive Neural Networks.- Globally Attractive Periodic Solutions of Continuous-Time Neural Networks and Their Discrete-Time Counterparts.- Globally Stable Periodic State of Delayed Cohen-Grossberg Neural Networks.- Globally Attractive Periodic State of Discrete-Time Cellular Neural Networks with Time-Varying Delays.- An Analysis for Periodic Solutions of High-Order BAM Neural Networks with Delays.- Periodic Oscillation and Exponential Stability of a Class of Competitive Neural Networks.- Synchronous Behaviors of Two Coupled Neurons.- Adaptive Synchronization of Delayed Neural Networks Based on Parameters Identification.- Strength and Direction of Phase Synchronization of Neural Networks.- Hopf Bifurcation in a Single Inertial Neuron Model: A Frequency Domain Approach.- Hopf Bifurcation in a Single Inertial Neuron Model with a Discrete Delay.- Stability and Bifurcation of a Neuron Model with Delay-Dependent Parameters.- Stability and Chaos of a Neural Network with Uncertain Time Delays.- Chaotic Synchronization of Delayed Neural Networks.- Chaos Synchronization for Bi-directional Coupled Two-Neuron Systems with Discrete Delays.- Complex Dynamics in a Simple Hopfield-Type Neural Network.- Adaptive Chaotic Controlling Method of a Chaotic Neural Network Model.- Model Design.- Modeling Cortex Network: A Spatio-temporal Population Approach.- A Special Kind of Neural Networks: Continuous Piecewise Linear Functions.- A Novel Dynamic Structural Neural Network with Neuron-Regeneration and Neuron-Degeneration Mechanisms.- A New Adaptive Ridgelet Neural Network.- Designing Neural Networks Using Hybrid Particle Swarm Optimization.- A New Strategy for Designing Bidirectional Associative Memories.- Genetically Optimized Hybrid Fuzzy Neural Networks Based on TSK Fuzzy Rules and Polynomial Neurons.- Genetically Optimized Self-organizing Fuzzy Polynomial Neural Networks Based on Information Granulation.- Identification of ANFIS-Based Fuzzy Systems with the Aid of Genetic Optimization and Information Granulation.- Design of Rule-Based Neurofuzzy Networks by Means of Genetic Fuzzy Set-Based Granulation.- Design of Genetic Fuzzy Set-Based Polynomial Neural Networks with the Aid of Information Granulation.- A Novel Self-organizing Neural Fuzzy Network for Automatic Generation of Fuzzy Inference Systems.- Constructive Fuzzy Neural Networks and Its Application.- A Novel CNN Template Design Method Based on GIM.- A Novel Generalized Congruence Neural Networks.- A SOM Based Model Combination Strategy.- Typical Sample Selection and Redundancy Reduction for Min-Max Modular Network with GZC Function.- Parallel Feedforward Process Neural Network with Time-Varying Input and Output Functions.- A Novel Solid Neuron-Network Chip Based on Both Biological and Artificial Neural Network Theories.- Associative Memory Using Nonlinear Line Attractor Network for Multi-valued Pattern Association.- Associative Chaotic Neural Network via Exponential Decay Spatio-temporal Effect.- On a Chaotic Neural Network with Decaying Chaotic Noise.- Extension Neural Network-Type 3.- Pulsed Para-neural Networks (PPNN) Based on MEXORs and Counters.- Using Ensemble Information in Swarming Artificial Neural Networks.- Negatively Correlated Neural Network Ensemble with Multi-population Particle Swarm Optimization.- Wrapper Approach for Learning Neural Network Ensemble by Feature Selection.- Constructive Ensemble of RBF Neural Networks and Its Application to Earthquake Prediction.- Learning Methods.- The Bounds on the Rate of Uniform Convergence for Learning Machine.- Supervised Learning on Local Tangent Space.- Study Markov Neural Network by Stochastic Graph.- An Efficient Recursive Total Least Squares Algorithm for Training Multilayer Feedforward Neural Networks.- A Robust Learning Algorithm for Feedforward Neural Networks with Adaptive Spline Activation Function.- A New Modified Hybrid Learning Algorithm for Feedforward Neural Networks.- Robust Recursive TLS (Total Least Square) Method Using Regularized UDU Decomposed for FNN (Feedforward Neural Network) Training.- An Improved Backpropagation Algorithm Using Absolute Error Function.- An Improved Relative Criterion Using BP Algorithm.- Solving Hard Local Minima Problems Using Basin Cells for Multilayer Perceptron Training.- Enhanced Fuzzy Single Layer Perceptron.- A New Training Algorithm for a Fuzzy Perceptron and Its Convergence.- Stochastic Fuzzy Neural Network and Its Robust Parameter Learning Algorithm.- Applying Neural Network to Reinforcement Learning in Continuous Spaces.- Multiagent Reinforcement Learning Algorithm Using Temporal Difference Error.- A Foremost-Policy Reinforcement Learning Based ART2 Neural Network and Its Learning Algorithm.- A Reinforcement Learning Based Radial-Bassis Function Network Control System.- Structure Pruning Strategies for Min-Max Modular Network.- Sequential Bayesian Learning for Modular Neural Networks.- A Modified Genetic Algorithm for Fast Training Neural Networks.- Immunity Clonal Synergetic Learning of Unbalanced Attention Parameters in Synergetic Network.- Optimizing Weights of Neural Network Using an Adaptive Tabu Search Approach.- Semi-supervised Learning for Image Retrieval Using Support Vector Machines.- A Simple Rule Extraction Method Using a Compact RBF Neural Network.- Automatic Fuzzy Rule Extraction Based on Fuzzy Neural Network.- Optimization Methods.- Neural Networks for Nonconvex Nonlinear Programming Problems: A Switching Control Approach.- Deterministic Global Optimization with a Neighbourhood Determination Algorithm Based on Neural Networks.- A Neural Network Methodology of Quadratic Optimization with Quadratic Equality Constraints.- A Hopfiled Neural Network for Nonlinear Constrained Optimization Problems Based on Penalty Function.- A Neural Network Algorithm for Second-Order Conic Programming.- Application of Neural Network to Interactive Physical Programming.- Application of the “Winner Takes All” Principle in Wang’s Recurrent Neural Network for the Assignment Problem.- Theoretical Analysis and Parameter Setting of Hopfield Neural Networks.- Solving Optimization Problems Based on Chaotic Neural Network with Hysteretic Activation Function.- An Improved Transiently Chaotic Neural Network for Solving the K-Coloring Problem.- A Sweep-Based TCNN Algorithm for Capacity Vehicle Routing Problem.- Transient Chaotic Discrete Neural Network for Flexible Job-Shop Scheduling.- Integration of Artificial Neural Networks and Genetic Algorithm for Job-Shop Scheduling Problem.- An Effective Algorithm Based on GENET Neural Network Model for Job Shop Scheduling with Release Dates and Due Dates.- Fuzzy Due Dates Job Shop Scheduling Problem Based on Neural Network.- Heuristic Combined Artificial Neural Networks to Schedule Hybrid Flow Shop with Sequence Dependent Setup Times.- A Neural Network Based Heuristic for Resource-Constrained Project Scheduling.- Functional-Link Net Based Multiobjective Fuzzy Optimization.- Optimizing the Distributed Network Monitoring Model with Bounded Bandwidth and Delay Constraints by Neural Networks.- Stochastic Nash Equilibrium with a Numerical Solution Method.- Kernel Methods.- Generalized Foley-Sammon Transform with Kernels.- Sparse Kernel Fisher Discriminant Analysis.- Scaling the Kernel Function to Improve Performance of the Support Vector Machine.- Online Support Vector Machines with Vectors Sieving Method.- Least Squares Support Vector Machine Based on Continuous Wavelet Kernel.- Multiple Parameter Selection for LS-SVM Using Smooth Leave-One-Out Error.- Trajectory-Based Support Vector Multicategory Classifier.- Multi-category Classification by Least Squares Support Vector Regression.- Twi-Map Support Vector Machine for Multi-classification Problems.- Fuzzy Multi-class SVM Classifier Based on Optimal Directed Acyclic Graph Using in Similar Handwritten Chinese Characters Recognition.- A Hierarchical and Parallel Method for Training Support Vector Machines.- Task Decomposition Using Geometric Relation for Min-Max Modular SVMs.- A Novel Ridgelet Kernel Regression Method.- Designing Nonlinear Classifiers Through Minimizing VC Dimension Bound.- A Cascaded Mixture SVM Classifier for Object Detection.- Radar High Range Resolution Profiles Feature Extraction Based on Kernel PCA and Kernel ICA.- Controlling Chaotic Systems via Support Vector Machines Without Analytical Model.- Support Vector Regression for Software Reliability Growth Modeling and Prediction.- SVM-Based Semantic Text Categorization for Large Scale Web Information Organization.- Fuzzy Support Vector Machine and Its Application to Mechanical Condition Monitoring.- Component Analysis.- Guided GA-ICA Algorithms.- A Cascaded Ensemble Learning for Independent Component Analysis.- A Step by Step Optimization Approach to Independent Component Analysis.- Self-adaptive FastICA Based on Generalized Gaussian Model.- An Efficient Independent Component Analysis Algorithm for Sub-Gaussian Sources.- ICA and Committee Machine-Based Algorithm for Cursor Control in a BCI System.- Fast Independent Component Analysis for Face Feature Extraction.- Affine Invariant Descriptors for Color Images Based on Independent Component Analysis.- A New Image Protection and Authentication Technique Based on ICA.- Locally Spatiotemporal Saliency Representation: The Role of Independent Component Analysis.- A Multistage Decomposition Approach for Adaptive Principal Component Analysis.- A New Kalman Filtering Algorithm for Nonlinear Principal Component Analysis.- An Improvement on PCA Algorithm for Face Recognition.- A Modified PCA Neural Network to Blind Estimation of the PN Sequence in Lower SNR DS-SS Signals.- A Modified MCA EXIN Algorithm and Its Convergence Analysis.- Robust Beamforming by a Globally Convergent MCA Neural Network.