Advances in Neural Networks - ISNN 2005 / 1

Stochastic Cohen-Grossberg Neural Networks with Time-Varying Delays
- Exponential Stability of Fuzzy Cellular Neural Networks with Unbounded Delay
- Global Exponential Stability of Reaction-Diffusion Hopfield Neural Networks with Distributed Delays
- Global Exponential Stability of Delayed Impulsive Hopfield Type Neural Networks
- Global Exponential Stability of Hopfield Neural Networks with Impulsive Effects
- Global Exponential Stability of Discrete Time Hopfield Neural Networks with Delays
- Stability Analysis of Uncertain Neural Networks with Linear and Nonlinear Time Delays
- Robust Stability for Delayed Neural Networks with Nonlinear Perturbation
- Robust Stability Analysis of a Class of Hopfield Neural Networks with Multiple Delays
- Robust Stability of Interval Delayed Neural Networks
- Impulsive Robust Control of Interval Hopfield Neural Networks
- Global Attractivity of Cohen-Grossberg Model with Delays
- High-Order Hopfield Neural Networks
- Stability Analysis of Second Order Hopfield Neural Networks with Time Delays
- Convergence Analysis of Genetic Regulatory Networks Based on Nonlinear Measures
- Stability Conditions for Discrete Neural Networks in Partial Simultaneous Updating Mode
- Dynamic Behavior Analysis of Discrete Neural Networks with Delay
- Existence and Stability of Periodic Solution in a Class of Impulsive Neural Networks
- Globally Attractive Periodic Solutions of Continuous-Time Neural Networks and Their Discrete-Time Counterparts
- Globally Stable Periodic State of Delayed Cohen-Grossberg Neural Networks
- Globally Attractive Periodic State of Discrete-Time Cellular Neural Networks with Time-Varying Delays
- An Analysis for Periodic Solutions of High-Order BAM Neural Networks with Delays
- Periodic Oscillation and Exponential Stability of a Class of Competitive Neural Networks
- Synchronous Behaviors of Two Coupled Neurons
- Adaptive Synchronization of Delayed Neural Networks Based on Parameters Identification
- Strength and Direction of Phase Synchronization of Neural Networks
- Hopf Bifurcation in a Single Inertial Neuron Model: A Frequency Domain Approach
- Hopf Bifurcation in a Single Inertial Neuron Model with a Discrete Delay
- Stability and Bifurcation of a Neuron Model with Delay-Dependent Parameters
- Stability and Chaos of a Neural Network with Uncertain Time Delays
- Chaotic Synchronization of Delayed Neural Networks
- Chaos Synchronization for Bi-directional Coupled Two-Neuron Systems with Discrete Delays
- Complex Dynamics in a Simple Hopfield-Type Neural Network
- Adaptive Chaotic Controlling Method of a Chaotic Neural Network Model
- Model Design
- Modeling Cortex Network: A Spatio-temporal Population Approach
- A Special Kind of Neural Networks: Continuous Piecewise Linear Functions
- A Novel Dynamic Structural Neural Network with Neuron-Regeneration and Neuron-Degeneration Mechanisms
- A New Adaptive Ridgelet Neural Network
- Designing Neural Networks Using Hybrid Particle Swarm Optimization
- A New Strategy for Designing Bidirectional Associative Memories
- Genetically Optimized Hybrid Fuzzy Neural Networks Based on TSK Fuzzy Rules and Polynomial Neurons
- Genetically Optimized Self-organizing Fuzzy Polynomial Neural Networks Based on Information Granulation
- Identification of ANFIS-Based Fuzzy Systems with the Aid of Genetic Optimization and Information Granulation
- Design of Rule-Based Neurofuzzy Networks by Means of Genetic Fuzzy Set-Based Granulation
- Design of Genetic Fuzzy Set-Based Polynomial Neural Networks with the Aid of Information Granulation
- A Novel Self-organizing Neural Fuzzy Network for Automatic Generation of Fuzzy Inference Systems
- Constructive Fuzzy Neural Networks and Its Application
- A Novel CNN Template Design Method Based on GIM
- A Novel Generalized Congruence Neural Networks
- A SOM Based Model Combination Strategy
- Typical Sample Selection and Redundancy Reduction for Min-Max Modular Network with GZC Function
- Parallel Feedforward Process Neural Network with Time-Varying Input and Output Functions
- A Novel Solid Neuron-Network Chip Based on Both Biological and Artificial Neural Network Theories
- Associative Memory Using Nonlinear Line Attractor Network for Multi-valued Pattern Association
- Associative Chaotic Neural Network via Exponential Decay Spatio-temporal Effect
- On a Chaotic Neural Network with Decaying Chaotic Noise
- Extension Neural Network-Type 3
- Pulsed Para-neural Networks (PPNN) Based on MEXORs and Counters
- Using Ensemble Information in Swarming Artificial Neural Networks
- Negatively Correlated Neural Network Ensemble with Multi-population Particle Swarm Optimization
- Wrapper Approach for Learning Neural Network Ensemble by Feature Selection
- Constructive Ensemble of RBF Neural Networks and Its Application to Earthquake Prediction
- Learning Methods
- The Bounds on the Rate of Uniform Convergence for Learning Machine
- Supervised Learning on Local Tangent Space
- Study Markov Neural Network by Stochastic Graph
- An Efficient Recursive Total Least Squares Algorithm for Training Multilayer Feedforward Neural Networks
- A Robust Learning Algorithm for Feedforward Neural Networks with Adaptive Spline Activation Function
- A New Modified Hybrid Learning Algorithm for Feedforward Neural Networks
- Robust Recursive TLS (Total Least Square) Method Using Regularized UDU Decomposed for FNN (Feedforward Neural Network) Training
- An Improved Backpropagation Algorithm Using Absolute Error Function
- An Improved Relative Criterion Using BP Algorithm
- Solving Hard Local Minima Problems Using Basin Cells for Multilayer Perceptron Training
- Enhanced Fuzzy Single Layer Perceptron
- A New Training Algorithm for a Fuzzy Perceptron and Its Convergence
- Stochastic Fuzzy Neural Network and Its Robust Parameter Learning Algorithm
- Applying Neural Network to Reinforcement Learning in Continuous Spaces
- Multiagent Reinforcement Learning Algorithm Using Temporal Difference Error
- A Foremost-Policy Reinforcement Learning Based ART2 Neural Network and Its Learning Algorithm
- A Reinforcement Learning Based Radial-Bassis Function Network Control System
- Structure Pruning Strategies for Min-Max Modular Network
- Sequential Bayesian Learning for Modular Neural Networks
- A Modified Genetic Algorithm for Fast Training Neural Networks
- Immunity Clonal Synergetic Learning of Unbalanced Attention Parameters in Synergetic Network
- Optimizing Weights of Neural Network Using an Adaptive Tabu Search Approach
- Semi-supervised Learning for Image Retrieval Using Support Vector Machines
- A Simple Rule Extraction Method Using a Compact RBF Neural Network
- Automatic Fuzzy Rule Extraction Based on Fuzzy Neural Network
- Optimization Methods
- Neural Networks for Nonconvex Nonlinear Programming Problems: A Switching Control Approach
- Deterministic Global Optimization with a Neighbourhood Determination Algorithm Based on Neural Networks
- A Neural Network Methodology of Quadratic Optimization with Quadratic Equality Constraints
- A Hopfiled Neural Network for Nonlinear Constrained Optimization Problems Based on Penalty Function
- A Neural Network Algorithm for Second-Order Conic Programming
- Application of Neural Network to Interactive Physical Programming
- Application of the "Winner Takes All" Principle in Wang's Recurrent Neural Network for the Assignment Problem
- Theoretical Analysis and Parameter Setting of Hopfield Neural Networks
- Solving Optimization Problems Based on Chaotic Neural Network with Hysteretic Activation Function
- An Improved Transiently Chaotic Neural Network for Solving the K-Coloring Problem
- A Sweep-Based TCNN Algorithm for Capacity Vehicle Routing Problem
- Transient Chaotic Discrete Neural Network for Flexible Job-Shop Scheduling
- Integration of Artificial Neural Networks and Genetic Algorithm for Job-Shop Scheduling Problem
- An Effective Algorithm Based on GENET Neural Network Model for Job Shop Scheduling with Release Dates and Due Dates
- Fuzzy Due Dates Job Shop Scheduling Problem Based on Neural Network
- Heuristic Combined Artificial Neural Networks to Schedule Hybrid Flow Shop with Sequence Dependent Setup Times
- A Neural Network Based Heuristic for Resource-Constrained Project Scheduling
- Functional-Link Net Based Multiobjective Fuzzy Optimization
- Optimizing the Distributed Network Monitoring Model with Bounded Bandwidth and Delay Constraints by Neural Networks
- Stochastic Nash Equilibrium with a Numerical Solution Method
- Kernel Methods
- Generalized Foley-Sammon Transform with Kernels
- Sparse Kernel Fisher Discriminant Analysis
- Scaling the Kernel Function to Improve Performance of the Support Vector Machine
- Online Support Vector Machines with Vectors Sieving Method
- Least Squares Support Vector Machine Based on Continuous Wavelet Kernel
- Multiple Parameter Selection for LS-SVM Using Smooth Leave-One-Out Error
- Trajectory-Based Support Vector Multicategory Classifier
- Multi-category Classification by Least Squares Support Vector Regression
- Twi-Map Support Vector Machine for Multi-classification Problems
- Fuzzy Multi-class SVM Classifier Based on Optimal Directed Acyclic Graph Using in Similar Handwritten Chinese Characters Recognition
- A Hierarchical and Parallel Method for Training Support Vector Machines
- Task Decomposition Using Geometric Relation for Min-Max Modular SVMs
- A Novel Ridgelet Kernel Regression Method
- Designing Nonlinear Classifiers Through Minimizing VC Dimension Bound
- A Cascaded Mixture SVM Classifier for Object Detection
- Radar High Range Resolution Profiles Feature Extraction Based on Kernel PCA and Kernel ICA
- Controlling Chaotic Systems via Support Vector Machines Without Analytical Model
- Support Vector Regression for Software Reliability Growth Modeling and Prediction
- SVM-Based Semantic Text Categorization for Large Scale Web Information Organization
- Fuzzy Support Vector Machine and Its Application to Mechanical Condition Monitoring
- Component Analysis
- Guided GA-ICA Algorithms
- A Cascaded Ensemble Learning for Independent Component Analysis
- A Step by Step Optimization Approach to Independent Component Analysis
- Self-adaptive FastICA Based on Generalized Gaussian Model
- An Efficient Independent Component Analysis Algorithm for Sub-Gaussian Sources
- ICA and Committee Machine-Based Algorithm for Cursor Control in a BCI System
- Fast Independent Component Analysis for Face Feature Extraction
- Affine Invariant Descriptors for Color Images Based on Independent Component Analysis
- A New Image Protection and Authentication Technique Based on ICA
- Locally Spatiotemporal Saliency Representation: The Role of Independent Component Analysis
- A Multistage Decomposition Approach for Adaptive Principal Component Analysis
- A New Kalman Filtering Algorithm for Nonlinear Principal Component Analysis
- An Improvement on PCA Algorithm for Face Recognition
- A Modified PCA Neural Network to Blind Estimation of the PN Sequence in Lower SNR DS-SS Signals
- A Modified MCA EXIN Algorithm and Its Convergence Analysis
- Robust Beamforming by a Globally Convergent MCA Neural Network