This is Volume I of a three volume set constituting the refereed proceedings of the Third International Symposium on Neural Networks, ISNN 2006. 616 revised papers are organized in topical sections on neurobiological analysis, theoretical analysis, neurodynamic optimization, learning algorithms, model design, kernel methods, data preprocessing, pattern classification, computer vision, image and signal processing, system modeling, robotic systems, transportation systems, communication networks, information security, fault detection, financial analysis, bioinformatics, biomedical and industrial applications, and more.
Inhalt
Neurobiological Analysis.- The Ideal Noisy Environment for Fast Neural Computation.- How Does a Neuron Perform Subtraction? - Arithmetic Rules of Synaptic Integration of Excitation and Inhibition.- Stochastic Resonance Enhancing Detectability of Weak Signal by Neuronal Networks Model for Receiver.- A Gaussian Dynamic Convolution Models of the FMRI BOLD Response.- Cooperative Motor Learning Model for Cerebellar Control of Balance and Locomotion.- A Model of Category Learning with Attention Augmented Simplistic Prototype Representation.- On the Learning Algorithms of Descriptive Models of High-Order Human Cognition.- A Neural Model on Cognitive Process.- Theoretical Analysis.- Approximation Bound of Mixture Networks in Spaces.- Integral Transform and Its Application to Neural Network Approximation.- The Essential Approximation Order for Neural Networks with Trigonometric Hidden Layer Units.- Wavelets Based Neural Network for Function Approximation.- Passivity Analysis of Dynamic Neural Networks with Different Time-Scales.- Exponential Dissipativity of Non-autonomous Neural Networks with Distributed Delays and Reaction-Diffusion Terms.- Convergence Analysis of Continuous-Time Neural Networks.- Global Convergence of Continuous-Time Recurrent Neural Networks with Delays.- Global Exponential Stability in Lagrange Sense of Continuous-Time Recurrent Neural Networks.- Global Exponential Stability of Recurrent Neural Networks with Time-Varying Delay.- New Criteria of Global Exponential Stability for a Class of Generalized Neural Networks with Time-Varying Delays.- Dynamics of General Neural Networks with Distributed Delays.- On Equilibrium and Stability of a Class of Neural Networks with Mixed Delays.- Stability Analysis of Neutral Neural Networks with Time Delay.- Global Asymptotical Stability in Neutral-Type Delayed Neural Networks with Reaction-Diffusion Terms.- Almost Sure Exponential Stability on Interval Stochastic Neural Networks with Time-Varying Delays.- Stochastic Robust Stability of Markovian Jump Nonlinear Uncertain Neural Networks with Wiener Process.- Stochastic Robust Stability Analysis for Markovian Jump Discrete-Time Delayed Neural Networks with Multiplicative Nonlinear Perturbations.- Global Robust Stability of General Recurrent Neural Networks with Time-Varying Delays.- Robust Periodicity in Recurrent Neural Network with Time Delays and Impulses.- Global Asymptotical Stability of Cohen-Grossberg Neural Networks with Time-Varying and Distributed Delays.- LMI Approach to Robust Stability Analysis of Cohen-Grossberg Neural Networks with Multiple Delays.- Existence and Global Stability Analysis of Almost Periodic Solutions for Cohen-Grossberg Neural Networks.- A New Sufficient Condition on the Complete Stability of a Class Cellular Neural Networks.- Stability Analysis of Reaction-Diffusion Recurrent Cellular Neural Networks with Variable Time Delays.- Exponential Stability of Delayed Stochastic Cellular Neural Networks.- Global Exponential Stability of Cellular Neural Networks with Time-Varying Delays and Impulses.- Global Exponential Stability of Fuzzy Cellular Neural Networks with Variable Delays.- Stability of Fuzzy Cellular Neural Networks with Impulses.- Absolute Stability of Hopfield Neural Network.- Robust Stability Analysis of Uncertain Hopfield Neural Networks with Markov Switching.- Asymptotic Stability of Second-Order Discrete-Time Hopfield Neural Networks with Variable Delays.- Convergence Analysis of Discrete Delayed Hopfield Neural Networks.- An LMI-Based Approach to the Global Stability of Bidirectional Associative Memory Neural Networks with Variable Delay.- Existence of Periodic Solution of BAM Neural Network with Delay and Impulse.- On Control of Hopf Bifurcation in BAM Neural Network with Delayed Self-feedback.- Convergence and Periodicity of Solutions for a Class of Discrete-Time Recurrent Neural Network with Two Neurons.- Existence and Global Attractability of Almost Periodic Solution for Competitive Neural Networks with Time-Varying Delays and Different Time Scales.- Global Synchronization of Impulsive Coupled Delayed Neural Networks.- Synchronization of a Class of Coupled Discrete Recurrent Neural Networks with Time Delay.- Chaos and Bifurcation in a New Class of Simple Hopfield Neural Network.- Synchronization of Chaotic System with the Perturbation Via Orthogonal Function Neural Network.- Numerical Analysis of a Chaotic Delay Recurrent Neural Network with Four Neurons.- Autapse Modulated Bursting.- Neurodynamic Optimization.- A Neural Network Model for Non-smooth Optimization over a Compact Convex Subset.- Differential Inclusions-Based Neural Networks for Nonsmooth Convex Optimization on a Closed Convex Subset.- A Recurrent Neural Network for Linear Fractional Programming with Bound Constraints.- A Delayed Lagrangian Network for Solving Quadratic Programming Problems with Equality Constraints.- Wavelet Chaotic Neural Networks and Their Application to Optimization Problems.- A New Optimization Algorithm Based on Ant Colony System with Density Control Strategy.- A New Neural Network Approach to the Traveling Salesman Problem.- Dynamical System for Computing Largest Generalized Eigenvalue.- A Concise Functional Neural Network for Computing the Extremum Eigenpairs of Real Symmetric Matrices.- Learning Algorithms.- A Novel Stochastic Learning Rule for Neural Networks.- Learning with Single Quadratic Integrate-and-Fire Neuron.- Manifold Learning of Vector Fields.- Similarity Measure for Vector Field Learning.- The Mahalanobis Distance Based Rival Penalized Competitive Learning Algorithm.- Dynamic Competitive Learning.- Hyperbolic Quotient Feature Map for Competitive Learning Neural Networks.- A Gradient Entropy Regularized Likelihood Learning Algorithm on Gaussian Mixture with Automatic Model Selection.- Self-organizing Neural Architecture for Reinforcement Learning.- On the Efficient Implementation Biologic Reinforcement Learning Using Eligibility Traces.- Combining Label Information and Neighborhood Graph for Semi-supervised Learning.- A Cerebellar Feedback Error Learning Scheme Based on Kalman Estimator for Tracing in Dynamic System.- An Optimal Iterative Learning Scheme for Dynamic Neural Network Modelling.- Delayed Learning on Internal Memory Network and Organizing Internal States.- A Novel Learning Algorithm for Feedforward Neural Networks.- On H??? Filtering in Feedforward Neural Networks Training and Pruning.- A Node Pruning Algorithm Based on Optimal Brain Surgeon for Feedforward Neural Networks.- A Fast Learning Algorithm Based on Layered Hessian Approximations and the Pseudoinverse.- A Modular Reduction Method for k-NN Algorithm with Self-recombination Learning.- Selective Neural Network Ensemble Based on Clustering.- An Individual Adaptive Gain Parameter Backpropagation Algorithm for Complex-Valued Neural Networks.- Training Cellular Neural Networks with Stable Learning Algorithm.- A New Stochastic PSO Technique for Neural Network Training.- A Multi-population Cooperative Particle Swarm Optimizer for Neural Network Training.- Training RBF Neural Network with Hybrid Particle Swarm Optimization.- Robust Learning by Self-organization of Nonlinear Lines of Attractions.- Improved Learning Algorithm Based on Generalized SOM for Dynamic Non-linear System.- Q-Learning with FCMAC in Mu…