Advances in Neural Networks - ISNN 2008: 5th International Symposium on Neural Networks, ISNN 2008, Beijing, China, September 24-28, 2008, Proceedings (Paperback, 2008)

Computational Neuroscience.- Single Trial Evoked Potentials Study during an Emotional Processing Based on Wavelet Transform.- Robust Speaker Modeling Based on Constrained Nonnegative Tensor Factorization.- A Hypothesis on How the Neocortex Extracts Information for Prediction in Sequence Learning.- MENN Method Applications for Stock Market Forecasting.- New Chaos Produced from Synchronization of Chaotic Neural Networks.- A Two Stage Energy Model Exhibiting Selectivity to Changing Disparity.- A Feature Extraction Method Based on Wavelet Transform and NMFs.- Cognitive Science.- Similarity Measures between Connection Numbers of Set Pair Analysis.- Temporal Properties of Illusory-Surface Perception Probed with Poggendorff Configuration.- Interval Self-Organizing Map for Nonlinear System Identification and Control.- A Dual-Mode Learning Mechanism Combining Knowledge-Education and Machine-Learning.- The Effect of Task Relevance on Electrophysiological Response to Emotional Stimuli.- A Detailed Study on the Modulation of Emotion Processing by Spatial Location.- Mathematical Modeling of Neural Systems.- MATLAB Simulation and Comparison of Zhang Neural Network and Gradient Neural Network for Time-Varying Lyapunov Equation Solving.- Improved Global Exponential Stability Criterion for BAM Neural Networks with Time-Varying Delays.- Global Exponential Stability and Periodicity of CNNs with Time-Varying Discrete and Distributed Delays.- Estimation of Value-at-Risk for Exchange Risk Via Kernel Based Nonlinear Ensembled Multi Scale Model.- Delay-Dependent Global Asymptotic Stability in Neutral-Type Delayed Neural Networks with Reaction-Diffusion Terms.- Discrimination of Reconstructed Milk in Raw Milk by Combining Near Infrared Spectroscopy with Biomimetic Pattern Recognition.- Data Fusion Based on Neural Networks and Particle Swarm Algorithm and Its Application in Sugar Boiling.- Asymptotic Law of Likelihood Ratio for Multilayer Perceptron Models.- An On-Line Learning Radial Basis Function Network and Its Application.- A Hybrid Model of Partial Least Squares and RBF Neural Networks for System Identification.- Nonlinear Complex Neural Circuits Analysis and Design by q-Value Weighted Bounded Operator.- Fuzzy Hyperbolic Neural Network Model and Its Application in H ??? Filter Design.- On the Domain Attraction of Fuzzy Neural Networks.- CG-M-FOCUSS and Its Application to Distributed Compressed Sensing.- Dynamic of Cohen-Grossberg Neural Networks with Variable Coefficients and Time-Varying Delays.- Permutation Free Encoding Technique for Evolving Neural Networks.- Six-Element Linguistic Truth-Valued Intuitionistic Reasoning in Decision Making.- A Sequential Learning Algorithm for RBF Networks with Application to Ship Inverse Control.- Stability and Nonlinear Analysis.- Implementation of Neural Network Learning with Minimum L 1-Norm Criteria in Fractional Order Non-gaussian Impulsive Noise Environments.- Stability of Neural Networks with Parameters Disturbed by White Noises.- Neural Control of Uncertain Nonlinear Systems with Minimum Control Effort.- Three Global Exponential Convergence Results of the GPNN for Solving Generalized Linear Variational Inequalities.- Disturbance Attenuating Controller Design for a Class of Nonlinear Systems with Unknown Time-Delay.- Stability Criteria with Less Variables for Neural Networks with Time-Varying Delay.- Robust Stability of Uncertain Neural Networks with Time-Varying Delays.- Novel Coupled Map Lattice Model for Prediction of EEG Signal.- Adaptive Synchronization of Delayed Chaotic Systems.- Feedforward and Fuzzy Neural Networks.- Research on Fish Intelligence for Fish Trajectory Prediction Based on Neural Network.- A Hybrid MCDM Method for Route Selection of Multimodal Transportation Network.- Function Approximation by Neural Networks.- Robot Navigation Based on Fuzzy RL Algorithm.- Nuclear Reactor Reactivity Prediction Using Feed Forward Artificial Neural Networks.- Active Noise Control Using a Feedfor