Advances in Neural Networks

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 Feedforward Network with Online Sequential Extreme Learning Machine.- Probabilistic Methods.- A Probabilistic Method to Estimate Life Expectancy of Application Software.- Particle Filter with Improved Proposal Distribution for Vehicle Tracking.- Cluster Selection Based on Coupling for Gaussian Mean Fields.- Multiresolution Image Fusion Algorithm Based on Block Modeling and Probabilistic Model.- An Evolutionary Approach for Vector Quantization Codebook Optimization.- Kernel-Based Text Classification on Statistical Manifold.- A Boost Voting Strategy for Knowledge Integration and Decision Making.- Supervised Learning.- A New Strategy for Pridicting Eukaryotic Promoter Based on Feature Boosting.- Searching for Interacting Features for Spam Filtering.- Structural Support Vector Machine.- The Turning Points on MLP’s Error Surface.- Parallel Fuzzy Reasoning Models with Ensemble Learning.- Classification and Dimension Reduction in Bank Credit Scoring System.- Polynomial Nonlinear Integrals.- Testing Error Estimates for Regularization and Radial Function Networks.- Unsupervised Learning.- A Practical Clustering Algorithm.- Concise Coupled Neural Network Algorithm for Principal Component Analysis.- Spatial Clustering with Obstacles Constraints by Hybrid Particle Swarm Optimization with GA Mutation.- Analysis of the Kurtosis-Sum Objective Function for ICA.- BYY Harmony Learning on Weibull Mixture with Automated Model Selection.- A BYY Split-and-Merge EM Algorithm for Gaussian Mixture Learning.- A Comparative Study on Clustering Algorithms for Multispectral Remote Sensing Image Recognition.- A Gradient BYY Harmony Learning Algorithm for Straight Line Detection.- Support Vector Machine and Kernel Methods.- An Estimation of the Optimal Gaussian Kernel Parameter for Support Vector Classification.- Imbalanced SVM Learning with Margin Compensation.- Path Algorithms for One-Class SVM.- Simulations for American Option Pricing Under a Jump-Diffusion Model: Comparison Study between Kernel-Based and Regression-based Methods.- Global Convergence Analysis of Decomposition Methods for Support Vector Regression.- Rotating Fault Diagnosis Based on Wavelet Kernel Principal Component.- Inverse System Identification of Nonlinear Systems Using LSSVM Based on Clustering.- A New Approach to Division of Attribute Space for SVR Based Classification Rule Extraction.- Chattering-Free LS-SVM Sliding Mode Control.- Selection of Gaussian Kernel Parameter for SVM Based on Convex Estimation.- Multiple Sources Data Fusion Strategies Based on Multi-class Support Vector Machine.- A Generic Diffusion Kernel for Semi-supervised Learning.- Weighted Hyper-sphere SVM for Hypertext Classification.- Theoretical Analysis of a Rigid Coreset Minimum Enclosing Ball Algorithm for Kernel Regression Estimation.- Kernel Matrix Learning for One-Class Classification.- Structure Automatic Change in Neural Network.- Hybrid Optimisation Algorithms.- Particle Swarm Optimization for Two-Stage FLA Problem with Fuzzy Random Demands.- T-S Fuzzy Model Identification Based on Chaos Optimization.- ADHDP for the pH Value Control in the Clarifying Process of Sugar Cane Juice.- Dynamic PSO-Neural Network: A Case Study for Urban Microcosmic Mobile Emission.- An Improvement to Ant Colony Optimization Heuristic.- Extension of a Polynomial Time Mehrotra-Type Predictor-Corrector Safeguarded Algorithm to Monotone Linear Complementarity Problems.- QoS Route Discovery of Ad Hoc Networks Based on Intelligence Computing.- Memetic Algorithm-Based Image Watermarking Scheme.- A Genetic Algorithm Using a Mixed Crossover Strategy.- Condition Prediction of Hydroelectric Generating Unit Based on Immune Optimized RBFNN.- Synthesis of a Hybrid Five-Bar Mechanism with Particle Swarm Optimization Algorithm.- Robust Model Predictive Control Using a Discrete-Time Recurrent Neural Network.- A PSO-Based Method for Min-? Approximation of Closed Contour Curves.