Advances in Neural Networks - ISNN 2004

Theoretical Analysis.- Approximation Bounds by Neural Networks in L ? p [-4pt].- Geometric Interpretation of Nonlinear Approximation Capability for Feedforward Neural Networks.- Mutual Information and Topology 1: Asymmetric Neural Network.- Mutual Information and Topology 2: Symmetric Network.- Simplified PCNN and Its Periodic Solutions.- On Robust Periodicity of Delayed Dynamical Systems with Time-Varying Parameters.- Delay-Dependent Criteria for Global Stability of Delayed Neural Network System.- Stability Analysis of Uncertain Neural Networks with Delay.- A New Method for Robust Stability Analysis of a Class of Recurrent Neural Networks with Time Delays.- Criteria for Stability in Neural Network Models with Iterative Maps.- Exponential Stability Analysis for Neural Network with Parameter Fluctuations.- Local Stability and Bifurcation in a Model of Delayed Neural Network.- On the Asymptotic Stability of Non-autonomous Delayed Neural Networks.- Global Exponential Stability of Cohen-Grossberg Neural Networks with Multiple Time-Varying Delays.- Stability of Stochastic Cohen-Grossberg Neural Networks.- A Novel Approach to Exponential Stability Analysis of Cohen-Grossberg Neural Networks.- Analysis for Global Robust Stability of Cohen-Grossberg Neural Networks with Multiple Delays.- On Robust Stability of BAM Neural Networks with Constant Delays.- Absolutely Exponential Stability of BAM Neural Networks with Distributed Delays.- Stability Analysis of Discrete-Time Cellular Neural Networks.- Novel Exponential Stability Criteria for Fuzzy Cellular Neural Networks with Time-Varying Delay.- Stability of Discrete Hopfield Networks with Delay in Serial Mode.- Further Results for an Estimation of Upperbound of Delays for Delayed Neural Networks.- Synchronization in Two Uncoupled Chaotic Neurons.- Robust Synchronization of Coupled Delayed Recurrent Neural Networks.- Learning and Optimization.- Self-Optimizing Neural Networks.- Genetically Optimized Self-Organizing Neural Networks Based on PNs and FPNs.- A New Approach to Self-Organizing Hybrid Fuzzy Polynomial Neural Networks: Synthesis of Computational Intelligence Technologies.- On Soft Learning Vector Quantization Based on Reformulation.- A New Approach to Self-Organizing Polynomial Neural Networks by Means of Genetic Algorithms.- Fuzzy-Kernel Learning Vector Quantization.- Genetic Generation of High-Degree-of-Freedom Feed-Forward Neural Networks.- Self-Organizing Feature Map Based Data Mining.- Diffusion and Growing Self-Organizing Map: A Nitric Oxide Based Neural Model.- A New Adaptive Self-Organizing Map.- Evolving Flexible Neural Networks Using Ant Programming and PSO Algorithm.- Surrogating Neurons in an Associative Chaotic Neural Network.- Ensembles of RBFs Trained by Gradient Descent.- Gradient Descent Training of Radial Basis Functions.- Recent Developments on Convergence of Online Gradient Methods for Neural Network Training.- A Regularized Line Search Tunneling for Efficient Neural Network Learning.- Transductive Learning Machine Based on the Affinity-Rule for Semi-supervised Problems and Its Algorithm.- A Learning Algorithm with Gaussian Regularizer for Kernel Neuron.- An Effective Learning Algorithm of Synergetic Neural Network.- Sparse Bayesian Learning Based on an Efficient Subset Selection.- A Novel Fuzzy Neural Network with Fast Training and Accurate Generalization.- Tuning Neuro-Fuzzy Function Approximator by Tabu Search.- Finite Convergence of MRI Neural Network for Linearly Separable Training Patterns.- A Rapid Two-Step Learning Algorithm for Spline Activation Function Neural Networks with the Application on Biped Gait Recognition.- An Online Feature Learning Algorithm Using HCI-Based Reinforcement Learning.- Optimizing the Weights of Neural Networks Based on Antibody Clonal Simulated Annealing Algorithm.- Backpropagation Analysis of the Limited Precision on High-Order Function Neural Networks.- LMS Adaptive Notch Filter Design Based on Immune Algorithm.- Training Radial Basis Function Networks with Particle Swarms.- Optimizing Weights by Genetic Algorithm for Neural Network Ensemble.- Survival Density Particle Swarm Optimization for Neural Network Training.- Modified Error Function with Added Terms for the Backpropagation Algorithm.- Robust Constrained-LMS Algorithm.- A Novel Three-Phase Algorithm for RBF Neural Network Center Selection.- Editing Training Data for kNN Classifiers with Neural Network Ensemble.- Learning Long-Term Dependencies in Segmented Memory Recurrent Neural Networks.- An Optimal Neural-Network Model for Learning Posterior Probability Functions from Observations.- The Layered Feed-Forward Neural Networks and Its Rule Extraction.- Analysing Contributions of Components and Factors to Pork Odour Using Structural Learning with Forgetting Method.- On Multivariate Calibration Problems.- Control of Associative Chaotic Neural Networks Using a Reinforcement Learning.- A Method to Improve the Transiently Chaotic Neural Network.- A New Neural Network for Nonlinear Constrained Optimization Problems.- Delay PCNN and Its Application for Optimization.- A New Parallel Improvement Algorithm for Maximum Cut Problem.- A New Neural Network Algorithm for Clique Vertex-Partition Problem.- An Algorithm Based on Hopfield Network Learning for Minimum Vertex Cover Problem.- A Subgraph Isomorphism Algorithm Based on Hopfield Neural Network.- A Positively Self-Feedbacked Hopfield Neural Network for N-Queens Problem.- NN-Based GA for Engineering Optimization.- Applying GENET to the JSSCSOP.- Support Vector Machines.- Improvements to Bennett’s Nearest Point Algorithm for Support Vector Machines.- Distance-Based Selection of Potential Support Vectors by Kernel Matrix.- A Learning Method for Robust Support Vector Machines.- A Cascade Method for Reducing Training Time and the Number of Support Vectors.- Minimal Enclosing Sphere Estimation and Its Application to SVMs Model Selection.- Constructing Support Vector Classifiers with Unlabeled Data.- Nested Buffer SMO Algorithm for Training Support Vector Classifiers.- Support Vector Classifier with a Fuzzy-Value Class Label.- RBF Kernel Based Support Vector Machine with Universal Approximation and Its Application.- A Practical Parameters Selection Method for SVM.- Ho–Kashyap with Early Stopping Versus Soft Margin SVM for Linear Classifiers –An Application.- Radar HRR Profiles Recognition Based on SVM with Power-Transformed-Correlation Kernel.- Hydrocarbon Reservoir Prediction Using Support Vector Machines.- Toxic Vapor Classification and Concentration Estimation for Space Shuttle and International Space Station.- Optimal Watermark Detection Based on Support Vector Machines.- Online LS-SVM Learning for Classification Problems Based on Incremental Chunk.- A Novel Approach to Clustering Analysis Based on Support Vector Machine.- Application of Support Vector Machine in Queuing System.- Modelling of Chaotic Systems with Novel Weighted Recurrent Least Squares Support Vector Machines.- Nonlinear System Identification Based on an Improved Support Vector Regression Estimator.- Anomaly Detection Using Support Vector Machines.- Power Plant Boiler Air Preheater Hot Spots Detection System Based on Least Square Support Vector Machines.- Support Vector Machine Multiuser Detector for TD-SCDMA Communication System in Multipath Channels.- Eyes Location by Hierarchical SVM Classifiers.- Classification of Stellar Spectral Data Using SVM.- Iris Recognition Using Support Vector Machines.- Heuristic Genetic Algorithm-Based Support Vector Classifier for Recognition of Remote Sensing Images.- Landmine Feature Extraction and Classification of GPR Data Based on SVM Method.- Occupant Classification for Smart Airbag Using Stereovision and Support Vector Machines.- Support Vector Machine Committee for Classification.- Automatic Modulation Classification by Support Vector Machines.- Blind Source Separation, Independent Component Analysis and Principal Component Analysis.- Blind Source Separation Using for Time-Delay Direction Finding.- Frequency-Domain Separation Algorithms for Instantaneous Mixtures.- Cumulant-Based Blind Separation of Convolutive Mixtures.- A New Blind Source Separation Method Based on Fractional Lower Order Statistics and Neural Network.- A Clustering Approach for Blind Source Separation with More Sources than Mixtures.- A Blind Source Separation Algorithm with Linear Prediction Filters.- A Blind Source Separation Based Micro Gas Sensor Array Modeling Method.- A Novel Denoising Algorithm Based on Feedforward Multilayer Blind Separation.- The Existence of Spurious Equilibrium in FastICA.- Hardware Implementation of Pulsed Neural Networks Based on Delta-Sigma Modulator for ICA.- Study on Object Recognition Based on Independent Component Analysis.- Application of ICA Method for Detecting Functional MRI Activation Data.- Single-Trial Estimation of Multi-channel VEP Signals Using Independent Component Analysis.- Data Hiding in Independent Components of Video.- Multisensor Data Fusion Based on Independent Component Analysis for Fault Diagnosis of Rotor.- Substructural Damage Detection Using Neural Networks and ICA.- Speech Segregation Using Constrained ICA.- Adaptive RLS Implementation of Non-negative PCA Algorithm for Blind Source Separation.- Progressive Principal Component Analysis.- Extracting Target Information in Multispectral Images Using a Modified KPCA Approach.- Use PCA Neural Network to Extract the PN Sequence in Lower SNR DS/SS Signals.- Hierarchical PCA-NN for Retrieving the Optical Properties of Two-Layer Tissue Model.- Principal Component Analysis Neural Network Based Probabilistic Tracking of Unpaved Road.- Chemical Separation Process Monitoring Based on Nonlinear Principal Component Analysis.- An Adjusted Gaussian Skin-Color Model Based on Principal Component Analysis.- Convergence Analysis for Oja+ MCA Learning Algorithm.- On the Discrete Time Dynamics of the MCA Neural Networks.- The Cook Projection Index Estimation Using the Wavelet Kernel Function.- Clustering and Classification.- Automatic Cluster Number Determination via BYY Harmony Learning.- Unsupervised Learning for Hierarchical Clustering Using Statistical Information.- Document Clustering Algorithm Based on Tree-Structured Growing Self-Organizing Feature Map.- Improved SOM Clustering for Software Component Catalogue.- Classification by Multilayer Feedforward Ensembles.- Robust Face Recognition from a Single Training Image per Person with Kernel-Based SOM-Face.- Unsupervised Feature Selection for Multi-class Object Detection Using Convolutional Neural Networks.- Recurrent Network as a Nonlinear Line Attractor for Skin Color Association.- A Bayesian Classifier by Using the Adaptive Construct Algorithm of the RBF Networks.- An Improved Analytical Center Machine for Classification.- Analysis of Fault Tolerance of a Combining Classifier.- Training Multilayer Perceptron with Multiple Classifier Systems.- Learning the Supervised NLDR Mapping for Classification.- Comparison with Two Classification Algorithms of Remote Sensing Image Based on Neural Network.- Some Experiments with Ensembles of Neural Networks for Classification of Hyperspectral Images.- SAR Image Recognition Using Synergetic Neural Networks Based on Immune Clonal Programming.- Speaker Identification Using Reduced RBF Networks Array.- Underwater Acoustic Targets Classification Using Welch Spectrum Estimation and Neural Networks.- Automatic Digital Modulation Recognition Using Wavelet Transform and Neural Networks.- Local Face Recognition Based on the Combination of ICA and NFL.- Facial Expression Recognition Using Kernel Discriminant Plane.- Application of CMAC-Based Networks on Medical Image Classification.- Seismic Pattern Recognition of Nuclear Explosion Based on Generalization Learning Algorithm of BP Network and Genetic Algorithm.- A Remote Sensing Image Classification Method Using Color and Texture Feature.- Remote Sensing Image Classification Based on Evidence Theory and Neural Networks.- Neural Networks in Detection and Identification of Littoral Oil Pollution by Remote Sensing.- Identifying Pronunciation-Translated Names from Chinese Texts Based on Support Vector Machines.- FPGA Implementation of Feature Extraction and Neural Network Classifier for Handwritten Digit Recognition.- Replicator Neural Networks for Outlier Modeling in Segmental Speech Recognition.- A Novel Approach to Stellar Recognition by Combining EKF and RBF Net.- Pattern Recognition Based on Stability of Discrete Time Cellular Neural Networks.- The Recognition of the Vehicle License Plate Based on Modular Networks.- Neural Network Associator for Images and Their Chinese Characters.- Exploring Various Features to Optimize Hot Topic Retrieval on WEB.