Inhalt

Neural Network Learning Algorithms.- A Novel Learning Algorithm for Wavelet Neural Networks.- Using Unscented Kalman Filter for Training the Minimal Resource Allocation Neural Network.- The Improved CMAC Model and Learning Result Analysis.- A New Smooth Support Vector Regression Based on ?-Insensitive Logistic Loss Function.- Neural Network Classifier Based on the Features of Multi-lead ECG.- A New Learning Algorithm for Diagonal Recurrent Neural Network.- Study of On-line Weighted Least Squares Support Vector Machines.- Globally Exponential Stability Analysis and Estimation of the Exponential Convergence Rate for Neural Networks with Multiple Time Varying Delays.- Locally Determining the Number of Neighbors in the k-Nearest Neighbor Rule Based on Statistical Confidence.- Fuzzy Self-Organizing Map Neural Network Using Kernel PCA and the Application.- An Evolved Recurrent Neural Network and Its Application.- Self-organized Locally Linear Embedding for Nonlinear Dimensionality Reduction.- Active Learning for Probabilistic Neural Networks.- Adaptive Training of Radial Basis Function Networks Using Particle Swarm Optimization Algorithm.- A Game-Theoretic Approach to Competitive Learning in Self-Organizing Maps.- A Novel Intrusions Detection Method Based on HMM Embedded Neural Network.- Generate Different Neural Networks by Negative Correlation Learning.- New Training Method and Optimal Structure of Backpropagation Networks.- Learning Outliers to Refine a Corpus for Chinese Webpage Categorization.- Bio-kernel Self-organizing Map for HIV Drug Resistance Classification.- A New Learning Algorithm Based on Lever Principle.- An Effective Method to Improve Convergence for Sequential Blind Source Separation.- A Novel LDA Approach for High-Dimensional Data.- Research and Design of Distributed Neural Networks with Chip Training Algorithm.- Support Vector Regression with Smoothing Property.- A Fast SMO Training Algorithm for Support Vector Regression.- Rival Penalized Fuzzy Competitive Learning Algorithm.- A New Predictive Vector Quantization Method Using a Smaller Codebook.- Performance Improvement of Fuzzy RBF Networks.- Neural Network Architectures.- Universal Approach to Study Delayed Dynamical Systems.- Long-Range Connections Based Small-World Network and Its Synchronizability.- Double Synaptic Weight Neuron Theory and Its Application.- Comparative Study of Chaotic Neural Networks with Different Models of Chaotic Noise.- A Learning Model in Qubit Neuron According to Quantum Circuit.- An Algorithm for Pruning Redundant Modules in Min-Max Modular Network with GZC Function.- A General Procedure for Combining Binary Classifiers and Its Performance Analysis.- A Modular Structure of Auto-encoder for the Integration of Different Kinds of Information.- Adaptive and Competitive Committee Machine Architecture.- An ART2/RBF Hybrid Neural Networks Research.- Complex Number Procedure Neural Networks.- Urban Traffic Signal Timing Optimization Based on Multi-layer Chaos Neural Networks Involving Feedback.- Research on a Direct Adaptive Neural Network Control Method of Nonlinear Systems.- Improving the Resultant Quality of Kohonen's Self Organizing Map Using Stiffness Factor.- A Novel Orthonormal Wavelet Network for Function Learning.- Fuzzy Back-Propagation Network for PCB Sales Forecasting.- An Evolutionary Artificial Neural Networks Approach for BF Hot Metal Silicon Content Prediction.- Application of Chaotic Neural Model Based on Olfactory System on Pattern Recognitions.- Double Robustness Analysis for Determining Optimal Feedforward Neural Network Architecture.- Stochastic Robust Stability Analysis for Markovian Jump Neural Networks with Time Delay.- Neurodynamics.- Observation of Crises and Bifurcations in the Hodgkin-Huxley Neuron Model.- An Application of Pattern Recognition Based on Optimized RBF-DDA Neural Networks.- Global Exponential Stability of Cellular Neural Networks with Time-Varying Delays.- Effect of Noises on Two-Layer Hodgkin-Huxley Neuronal Network.- Adaptive Co-ordinate Transformation Based on a Spike Timing-Dependent Plasticity Learning Paradigm.- Modeling of Short-Term Synaptic Plasticity Using Dynamic Synapses.- A Chaotic Model of Hippocampus-Neocortex.- Stochastic Neuron Model with Dynamic Synapses and Evolution Equation of Its Density Function.- Learning Algorithm for Spiking Neural Networks.- Exponential Convergence of Delayed Neural Networks.- A Neural Network for Constrained Saddle Point Problems: An Approximation Approach.- Implementing Fuzzy Reasoning by IAF Neurons.- A Method for Quantifying Temporal and Spatial Patterns of Spike Trains.- A Stochastic Nonlinear Evolution Model and Dynamic Neural Coding on Spontaneous Behavior of Large-Scale Neuronal Population.- Study on Circle Maps Mechanism of Neural Spikes Sequence.- Synchronous Behaviors of Hindmarsh-Rose Neurons with Chemical Coupling.- Statistical Neural Network Models and Support Vector Machines.- A Simple Quantile Regression via Support Vector Machine.- Doubly Regularized Kernel Regression with Heteroscedastic Censored Data.- Support Vector Based Prototype Selection Method for Nearest Neighbor Rules.- A Prediction Interval Estimation Method for KMSE.- An Information-Geometrical Approach to Constructing Kernel in Support Vector Regression Machines.- Training Data Selection for Support Vector Machines.- Model Selection for Regularized Least-Squares Classification.- Modelling of Chaotic Systems with Recurrent Least Squares Support Vector Machines Combined with Reconstructed Embedding Phase Space.- Least-Squares Wavelet Kernel Method for Regression Estimation.- Fuzzy Support Vector Machines Based on ?-Cut.- Mixtures of Kernels for SVM Modeling.- A Novel Parallel Reduced Support Vector Machine.- Recurrent Support Vector Machines in Reliability Prediction.- A Modified SMO Algorithm for SVM Regression and Its Application in Quality Prediction of HP-LDPE.- Gait Recognition via Independent Component Analysis Based on Support Vector Machine and Neural Network.- Uncertainty Support Vector Method for Ordinal Regression.- An Incremental Learning Method Based on SVM for Online Sketchy Shape Recognition.- Eigenspectra Versus Eigenfaces: Classification with a Kernel-Based Nonlinear Representor.- Blind Extraction of Singularly Mixed Source Signals.- Application of Support Vector Machines in Predicting Employee Turnover Based on Job Performance.- Palmprint Recognition Based on Unsupervised Subspace Analysis.- A New Alpha Seeding Method for Support Vector Machine Training.- Multiple Acoustic Sources Location Based on Blind Source Separation.- Short-Term Load Forecasting Based on Self-organizing Map and Support Vector Machine.- A Multi-class Classifying Algorithm Based on Nonlinear Dimensionality Reduction and Support Vector Machines.- A VSC Scheme for Linear MIMO Systems Based on SVM.- Global Convergence of FastICA: Theoretical Analysis and Practical Considerations.- SVM Based Nonparametric Model Identification and Dynamic Model Control.- Learning SVM Kernel with Semi-definite Programming.- Weighted On-line SVM Regression Algorithm and Its Application.- Other Topics in Neural Network Models.- Convergence of an Online Gradient Method for BP Neural Networks with Stochastic Inputs.- A Constructive Algorithm for Wavelet Neural Networks.- Stochastic High-Order Hopfield Neural Networks.- Predicting with Confidence - An Improved Dynamic Cell Structure.- An Efficient Score Function Generation Algorithm with Information Maximization.- A New Criterion on Exponential Stability of a Class of Discrete Cellular Neural Networks with Time Delay.- A Novel Local Connection Neural Network.- An Unsupervised Cooperative Pattern Recognition Model to Identify Anomalous Massive SNMP Data Sending.- A Fast Nonseparable Wavelet Neural Network for Function Approximation.- A Visual Cortex Domain Model for Illusory Contour Figures.- Cognitive Science.- ANN Ensemble Online Learning Strategy in 3D Object Cognition and…