The three volume set LNCS 5551/5552/5553 constitutes the refereed proceedings of the 6th International Symposium on Neural Networks, ISNN 2009, held in Wuhan, China in May 2009.
The 409 revised papers presented were carefully reviewed and selected from a total of 1.235 submissions. The papers are organized in 20 topical sections on theoretical analysis, stability, time-delay neural networks, machine learning, neural modeling, decision making systems, fuzzy systems and fuzzy neural networks, support vector machines and kernel methods, genetic algorithms, clustering and classification, pattern recognition, intelligent control, optimization, robotics, image processing, signal processing, biomedical applications, fault diagnosis, telecommunication, sensor network and transportation systems, as well as applications.
Klappentext
This book and its companion volumes, LNCS vols. 5551, 5552 and 5553, constitute the proceedings of the 6th International Symposium on Neural Networks (ISNN 2009), held during May 26-29, 2009 in Wuhan, China. Over the past few years, ISNN has matured into a well-established premier international symposium on neural n- works and related fields, with a successful sequence of ISNN symposia held in Dalian (2004), Chongqing (2005), Chengdu (2006), Nanjing (2007), and Beijing (2008). Following the tradition of the ISNN series, ISNN 2009 provided a high-level inter- tional forum for scientists, engineers, and educators to present state-of-the-art research in neural networks and related fields, and also to discuss with international colleagues on the major opportunities and challenges for future neural network research. Over the past decades, the neural network community has witnessed tremendous - forts and developments in all aspects of neural network research, including theoretical foundations, architectures and network organizations, modeling and simulation, - pirical study, as well as a wide range of applications across different domains. The recent developments of science and technology, including neuroscience, computer science, cognitive science, nano-technologies and engineering design, among others, have provided significant new understandings and technological solutions to move the neural network research toward the development of complex, large-scale, and n- worked brain-like intelligent systems. This long-term goal can only be achieved with the continuous efforts of the community to seriously investigate different issues of the neural networks and related fields.
Inhalt
Theoretical Analysis.- Optimal Inversion of Open Boundary Conditions Using BPNN Data-Driven Model Combined with Tidal Model.- Time-Varying Matrix Square Roots Solving via Zhang Neural Network and Gradient Neural Network: Modeling, Verification and Comparison.- Analysis of Time-Varying EEG Based on Wavelet Packet Entropy.- A New Practical Method on Hydrological Calculation.- Bernoulli Neural Network with Weights Directly Determined and with the Number of Hidden- Layer Neurons Automatically Determined.- Extension of Stochastic Dynamical System Involving Generalized Brownian Functionals.- Information Extraction System Based on Hidden Markov Model.- Network Intrusion Detection with Workflow Feature Definition Using BP Neural Network.- Features of Hodgkin-Huxley Neuron Response to Periodic Spike-Train Inputs.- Multi-start Stochastic Competitive Hopfield Neural Network for p-Median Problem.- An Information Theoretic Perspective of the Sparse Coding.- Information Dynamics and Intelligent Cooperation in Networked Societies.- Statistical Dependency of Image Wavelet Coefficients: Full Bayesian Model for Neural Networks.- The Bounds on the Rate of Uniform Convergence of Learning Process on Uncertainty Space.- Adaptive Growing Quantization for 1D CMAC Network.- Qualitative Analysis of General Discrete-Time Recurrent Neural Networks with Impulses.- Simulation Study of CPG Model: Exploring of a Certain Characteristics of Rhythm of Gait Movement on the Intelligent Creature.- Recognition of Altered Rock Based on Improved Particle Swarm Neural Network.- Development of Design Strategy for RBF Neural Network with the Aid of Context-Based FCM.- A Stochastic Complex Dynamical Network and Its Synchronization.- Porosity Prediction Using Bagging of Complementary Neural Networks.- Research on the Evaluation Index System for Regional Integration: Analysis and Empirical Study.- A Type of Integrating Formula without Derivative.- L1-norm Regularization Based Nonlinear Integrals.- Function of EEG Temporal Complexity Analysis in Neural Activities Measurement.- A PDF-Matched Modification to Stone's Measure of Predictability for Blind Source Separation.- Feedforward Neural Network with Multi-valued Connection Weights.- A Method of Geometric Analysis of Condorcet Function.- Stability.- Exponential Asymptotic Stability of a Two-Unit Standby Redundant Electronic Equipment System under Human Failure.- Globally Exponentially Attractive Set and Synchronization of a Class of Chaotic Finance System.- Continuous and Discrete Halanay Delayed Inequalities and Their Applications in Stability of Neural Networks.- A Discrete-Time Recurrent Neural Network with One Neuron for k-Winners-Take-All Operation.- Stability of Stochastic Recurrent Neural Networks with Positive Linear Activation Functions.- Stability Conditions of Delayed Recurrent Neural Networks with Positive Linear Activation Functions.- The Dahlquist Constant Approach to Stability Analysis of the Static Neural Networks.- Global Exponential Stability of Reaction-Diffusion Delayed BAM Neural Networks with Dirichlet Boundary Conditions.- Global Robustly Asymptotically Stability of Cohen-Grossberg Neural Networks with Nonnegative Amplification Function.- Multistability of Neural Networks with a Class of Activation Functions.- Robust Stability of Control Systems with One Form of Uncertain Parameters.- Stability Analysis of a General Class of Continuous-Time Recurrent Neural Networks.- Time-Delay Neural Networks.- A New LMI-Based Stability Criteria for Delayed Cellular Neural Networks.- Multi-sensor Optimal H??? Fusion Filters for a Class of Nonlinear Intelligent Systems with Time Delays.- H??? Synchronization of General Discrete-Time Chaotic Neural Networks with Time Delays.- Stability of Hopfield Neural Networks with Time-Varying Delay.- Global Exponential Stability of FCNNs with Bounded Uncertain Delays.- Finite-Time Boundedness Analysis of a Class of Neutral Type Neural Networks with Time Delays.- Global Passivity of Stochastic Neural Networks with Time-Varying Delays.- Exponential Stability of High-Order Fuzzy Cellular Neural Networks with Time-Varying Delays.- Further Stability Analysis for Neural Networks with Time-Varying Interval Delay.- Dynamic Analysis of Delayed Fuzzy Cellular Neural Networks with Time-Varying Coefficients.- Delay-Dependent Exponential Stability of Discrete-Time BAM Neural Networks with Time Varying Delays.- Memory State Feedback Stabilization for Time-Varying Delayed Neural Networks Systems.- Global Stability of Neural Networks with Delays and Impulses.- LMI Based Global Asymptotic Stability Criterion for Recurrent Neural Networks with Infinite Distributed Delays.- Existence and Stability of Periodic Solutions for BAM Neural Networks with Time-Varying Delays and Impulses.- Impulsive Exponential Synchronization of Coupled Fuzzy Neural Networks with Time-Varying Delays.- A Delay Fractioning Approach to Global Synchronization of Complex Networks with Distributed Delays and Stochastic Disturbances.- Exponential Stability of Impulsive Hopfield Neural Networks with Time Delays.- Neutral Differential Systems with Impulse and Delay.- Finite Time Stability of Cohen-Grossberg Neural Network with Time-Varying Delays.- Evolution Differential Systems with Impulse and Delay.- Passivity Analysis of Neural Networks with Time-Varying Delays of Neutral Type.- Adaptive Exponential Synchronization of Stochastic…