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Advances in Neural Networks - ISNN 2005

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Cover of 'Advances in Neural Networks - ISNN 2005'

Table of Contents

  1. Altmetric Badge
    Book Overview
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    Chapter 1 Population Coding, Bayesian Inference and Information Geometry
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    Chapter 2 One-Bit-Matching ICA Theorem, Convex-Concave Programming, and Combinatorial Optimization
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    Chapter 3 Dynamic Models for Intention (Goal-Directedness) Are Required by Truly Intelligent Robots
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    Chapter 4 Differences and Commonalities Between Connectionism and Symbolicism
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    Chapter 5 Pointwise Approximation for Neural Networks
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    Chapter 6 On the Universal Approximation Theorem of Fuzzy Neural Networks with Random Membership Function Parameters
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    Chapter 7 A Review: Relationship Between Response Properties of Visual Neurons and Advances in Nonlinear Approximation Theory
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    Chapter 8 Image Representation in Visual Cortex and High Nonlinear Approximation
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    Chapter 9 Generalization and Property Analysis of GENET
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    Chapter 10 On Stochastic Neutral Neural Networks
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    Chapter 11 Eigenanalysis of CMAC Neural Network
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    Chapter 12 A New Definition of Sensitivity for RBFNN and Its Applications to Feature Reduction
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    Chapter 13 Complexity of Error Hypersurfaces in Multilayer Perceptrons with General Multi-input and Multi-output Architecture
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    Chapter 14 Nonlinear Dynamical Analysis on Coupled Modified Fitzhugh-Nagumo Neuron Model
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    Chapter 15 Stability of Nonautonomous Recurrent Neural Networks with Time-Varying Delays
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    Chapter 16 Global Exponential Stability of Non-autonomous Neural Networks with Variable Delay
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    Chapter 17 A Generalized LMI-Based Approach to the Global Exponential Stability of Recurrent Neural Networks with Delay
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    Chapter 18 A Further Result for Exponential Stability of Neural Networks with Time-Varying Delays
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    Chapter 19 Improved Results for Exponential Stability of Neural Networks with Time-Varying Delays
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    Chapter 20 Global Exponential Stability of Recurrent Neural Networks with Infinite Time-Varying Delays and Reaction-Diffusion Terms
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    Chapter 21 Exponential Stability Analysis of Neural Networks with Multiple Time Delays
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    Chapter 22 Exponential Stability of Cohen-Grossberg Neural Networks with Delays
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    Chapter 23 Global Exponential Stability of Cohen-Grossberg Neural Networks with Time-Varying Delays and Continuously Distributed Delays
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    Chapter 24 Exponential Stability of Stochastic Cohen-Grossberg Neural Networks with Time-Varying Delays
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    Chapter 25 Exponential Stability of Fuzzy Cellular Neural Networks with Unbounded Delay
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    Chapter 26 Global Exponential Stability of Reaction-Diffusion Hopfield Neural Networks with Distributed Delays
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    Chapter 27 Global Exponential Stability of Delayed Impulsive Hopfield Type Neural Networks
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    Chapter 28 Global Exponential Stability of Hopfield Neural Networks with Impulsive Effects
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    Chapter 29 Global Exponential Stability of Discrete Time Hopfield Neural Networks with Delays
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    Chapter 30 Stability Analysis of Uncertain Neural Networks with Linear and Nonlinear Time Delays
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    Chapter 31 Robust Stability for Delayed Neural Networks with Nonlinear Perturbation
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    Chapter 32 Robust Stability Analysis of a Class of Hopfield Neural Networks with Multiple Delays
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    Chapter 33 Robust Stability of Interval Delayed Neural Networks
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    Chapter 34 Impulsive Robust Control of Interval Hopfield Neural Networks
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    Chapter 35 Global Attractivity of Cohen-Grossberg Model with Delays
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    Chapter 36 High-Order Hopfield Neural Networks
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    Chapter 37 Stability Analysis of Second Order Hopfield Neural Networks with Time Delays
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    Chapter 38 Convergence Analysis of Genetic Regulatory Networks Based on Nonlinear Measures
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    Chapter 39 Stability Conditions for Discrete Neural Networks in Partial Simultaneous Updating Mode
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    Chapter 40 Dynamic Behavior Analysis of Discrete Neural Networks with Delay
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    Chapter 41 Existence and Stability of Periodic Solution in a Class of Impulsive Neural Networks
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    Chapter 42 Globally Attractive Periodic Solutions of Continuous-Time Neural Networks and Their Discrete-Time Counterparts
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    Chapter 43 Globally Stable Periodic State of Delayed Cohen-Grossberg Neural Networks
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    Chapter 44 Globally Attractive Periodic State of Discrete-Time Cellular Neural Networks with Time-Varying Delays
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    Chapter 45 An Analysis for Periodic Solutions of High-Order BAM Neural Networks with Delays
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    Chapter 46 Periodic Oscillation and Exponential Stability of a Class of Competitive Neural Networks
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    Chapter 47 Synchronous Behaviors of Two Coupled Neurons
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    Chapter 48 Adaptive Synchronization of Delayed Neural Networks Based on Parameters Identification
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    Chapter 49 Strength and Direction of Phase Synchronization of Neural Networks
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    Chapter 50 Hopf Bifurcation in a Single Inertial Neuron Model: A Frequency Domain Approach
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    Chapter 51 Hopf Bifurcation in a Single Inertial Neuron Model with a Discrete Delay
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    Chapter 52 Stability and Bifurcation of a Neuron Model with Delay-Dependent Parameters
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    Chapter 53 Stability and Chaos of a Neural Network with Uncertain Time Delays
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    Chapter 54 Chaotic Synchronization of Delayed Neural Networks
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    Chapter 55 Chaos Synchronization for Bi-directional Coupled Two-Neuron Systems with Discrete Delays
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    Chapter 56 Complex Dynamics in a Simple Hopfield-Type Neural Network
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    Chapter 57 Adaptive Chaotic Controlling Method of a Chaotic Neural Network Model
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    Chapter 58 Modeling Cortex Network: A Spatio-temporal Population Approach
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    Chapter 59 A Special Kind of Neural Networks: Continuous Piecewise Linear Functions
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    Chapter 60 A Novel Dynamic Structural Neural Network with Neuron-Regeneration and Neuron-Degeneration Mechanisms
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    Chapter 61 A New Adaptive Ridgelet Neural Network
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    Chapter 62 Designing Neural Networks Using Hybrid Particle Swarm Optimization
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    Chapter 63 A New Strategy for Designing Bidirectional Associative Memories
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    Chapter 64 Genetically Optimized Hybrid Fuzzy Neural Networks Based on TSK Fuzzy Rules and Polynomial Neurons
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    Chapter 65 Genetically Optimized Self-organizing Fuzzy Polynomial Neural Networks Based on Information Granulation
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    Chapter 66 Identification of ANFIS-Based Fuzzy Systems with the Aid of Genetic Optimization and Information Granulation
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    Chapter 67 Design of Rule-Based Neurofuzzy Networks by Means of Genetic Fuzzy Set-Based Granulation
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    Chapter 68 Design of Genetic Fuzzy Set-Based Polynomial Neural Networks with the Aid of Information Granulation
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    Chapter 69 A Novel Self-organizing Neural Fuzzy Network for Automatic Generation of Fuzzy Inference Systems
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    Chapter 70 Constructive Fuzzy Neural Networks and Its Application
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    Chapter 71 A Novel CNN Template Design Method Based on GIM
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    Chapter 72 A Novel Generalized Congruence Neural Networks
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    Chapter 73 A SOM Based Model Combination Strategy
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    Chapter 74 Typical Sample Selection and Redundancy Reduction for Min-Max Modular Network with GZC Function
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    Chapter 75 Parallel Feedforward Process Neural Network with Time-Varying Input and Output Functions
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    Chapter 76 A Novel Solid Neuron-Network Chip Based on Both Biological and Artificial Neural Network Theories
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    Chapter 77 Associative Memory Using Nonlinear Line Attractor Network for Multi-valued Pattern Association
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    Chapter 78 Associative Chaotic Neural Network via Exponential Decay Spatio-temporal Effect
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    Chapter 79 On a Chaotic Neural Network with Decaying Chaotic Noise
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    Chapter 80 Extension Neural Network-Type 3
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    Chapter 81 Pulsed Para-neural Networks (PPNN) Based on MEXORs and Counters
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    Chapter 82 Using Ensemble Information in Swarming Artificial Neural Networks
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    Chapter 83 Negatively Correlated Neural Network Ensemble with Multi-population Particle Swarm Optimization
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    Chapter 84 Wrapper Approach for Learning Neural Network Ensemble by Feature Selection
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    Chapter 85 Constructive Ensemble of RBF Neural Networks and Its Application to Earthquake Prediction
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    Chapter 86 The Bounds on the Rate of Uniform Convergence for Learning Machine
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    Chapter 87 Supervised Learning on Local Tangent Space
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    Chapter 88 Study Markov Neural Network by Stochastic Graph
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    Chapter 89 An Efficient Recursive Total Least Squares Algorithm for Training Multilayer Feedforward Neural Networks
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    Chapter 90 A Robust Learning Algorithm for Feedforward Neural Networks with Adaptive Spline Activation Function
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    Chapter 91 A New Modified Hybrid Learning Algorithm for Feedforward Neural Networks
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    Chapter 92 Robust Recursive TLS (Total Least Square) Method Using Regularized UDU Decomposed for FNN (Feedforward Neural Network) Training
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    Chapter 93 An Improved Backpropagation Algorithm Using Absolute Error Function
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    Chapter 94 An Improved Relative Criterion Using BP Algorithm
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    Chapter 95 Solving Hard Local Minima Problems Using Basin Cells for Multilayer Perceptron Training
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    Chapter 96 Enhanced Fuzzy Single Layer Perceptron
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    Chapter 97 A New Training Algorithm for a Fuzzy Perceptron and Its Convergence
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    Chapter 98 Stochastic Fuzzy Neural Network and Its Robust Parameter Learning Algorithm
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    Chapter 99 Applying Neural Network to Reinforcement Learning in Continuous Spaces
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    Chapter 100 Multiagent Reinforcement Learning Algorithm Using Temporal Difference Error
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    Chapter 101 A Foremost-Policy Reinforcement Learning Based ART2 Neural Network and Its Learning Algorithm
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    Chapter 102 A Reinforcement Learning Based Radial-Bassis Function Network Control System
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    Chapter 103 Structure Pruning Strategies for Min-Max Modular Network
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    Chapter 104 Sequential Bayesian Learning for Modular Neural Networks
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    Chapter 105 A Modified Genetic Algorithm for Fast Training Neural Networks
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    Chapter 106 Immunity Clonal Synergetic Learning of Unbalanced Attention Parameters in Synergetic Network
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    Chapter 107 Optimizing Weights of Neural Network Using an Adaptive Tabu Search Approach
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    Chapter 108 Semi-supervised Learning for Image Retrieval Using Support Vector Machines
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    Chapter 109 A Simple Rule Extraction Method Using a Compact RBF Neural Network
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    Chapter 110 Automatic Fuzzy Rule Extraction Based on Fuzzy Neural Network
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    Chapter 111 Neural Networks for Nonconvex Nonlinear Programming Problems: A Switching Control Approach
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    Chapter 112 Deterministic Global Optimization with a Neighbourhood Determination Algorithm Based on Neural Networks
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    Chapter 113 A Neural Network Methodology of Quadratic Optimization with Quadratic Equality Constraints
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    Chapter 114 A Hopfiled Neural Network for Nonlinear Constrained Optimization Problems Based on Penalty Function
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    Chapter 115 A Neural Network Algorithm for Second-Order Conic Programming
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    Chapter 116 Application of Neural Network to Interactive Physical Programming
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    Chapter 117 Application of the “Winner Takes All” Principle in Wang’s Recurrent Neural Network for the Assignment Problem
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    Chapter 118 Theoretical Analysis and Parameter Setting of Hopfield Neural Networks
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    Chapter 119 Solving Optimization Problems Based on Chaotic Neural Network with Hysteretic Activation Function
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    Chapter 120 An Improved Transiently Chaotic Neural Network for Solving the K-Coloring Problem
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    Chapter 121 A Sweep-Based TCNN Algorithm for Capacity Vehicle Routing Problem
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    Chapter 122 Transient Chaotic Discrete Neural Network for Flexible Job-Shop Scheduling
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    Chapter 123 Integration of Artificial Neural Networks and Genetic Algorithm for Job-Shop Scheduling Problem
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    Chapter 124 An Effective Algorithm Based on GENET Neural Network Model for Job Shop Scheduling with Release Dates and Due Dates
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    Chapter 125 Fuzzy Due Dates Job Shop Scheduling Problem Based on Neural Network
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    Chapter 126 Heuristic Combined Artificial Neural Networks to Schedule Hybrid Flow Shop with Sequence Dependent Setup Times
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    Chapter 127 A Neural Network Based Heuristic for Resource-Constrained Project Scheduling
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    Chapter 128 Functional-Link Net Based Multiobjective Fuzzy Optimization
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    Chapter 129 Optimizing the Distributed Network Monitoring Model with Bounded Bandwidth and Delay Constraints by Neural Networks
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    Chapter 130 Stochastic Nash Equilibrium with a Numerical Solution Method
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    Chapter 131 Generalized Foley-Sammon Transform with Kernels
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    Chapter 132 Sparse Kernel Fisher Discriminant Analysis
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    Chapter 133 Scaling the Kernel Function to Improve Performance of the Support Vector Machine
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    Chapter 134 Online Support Vector Machines with Vectors Sieving Method
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    Chapter 135 Least Squares Support Vector Machine Based on Continuous Wavelet Kernel
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    Chapter 136 Multiple Parameter Selection for LS-SVM Using Smooth Leave-One-Out Error
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    Chapter 137 Trajectory-Based Support Vector Multicategory Classifier
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    Chapter 138 Multi-category Classification by Least Squares Support Vector Regression
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    Chapter 139 Twi-Map Support Vector Machine for Multi-classification Problems
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    Chapter 140 Fuzzy Multi-class SVM Classifier Based on Optimal Directed Acyclic Graph Using in Similar Handwritten Chinese Characters Recognition
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    Chapter 141 A Hierarchical and Parallel Method for Training Support Vector Machines
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    Chapter 142 Task Decomposition Using Geometric Relation for Min-Max Modular SVMs
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    Chapter 143 A Novel Ridgelet Kernel Regression Method
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    Chapter 144 Designing Nonlinear Classifiers Through Minimizing VC Dimension Bound
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    Chapter 145 A Cascaded Mixture SVM Classifier for Object Detection
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    Chapter 146 Radar High Range Resolution Profiles Feature Extraction Based on Kernel PCA and Kernel ICA
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    Chapter 147 Controlling Chaotic Systems via Support Vector Machines Without Analytical Model
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    Chapter 148 Support Vector Regression for Software Reliability Growth Modeling and Prediction
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    Chapter 149 SVM-Based Semantic Text Categorization for Large Scale Web Information Organization
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    Chapter 150 Fuzzy Support Vector Machine and Its Application to Mechanical Condition Monitoring
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    Chapter 151 Guided GA-ICA Algorithms
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    Chapter 152 A Cascaded Ensemble Learning for Independent Component Analysis
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    Chapter 153 A Step by Step Optimization Approach to Independent Component Analysis
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    Chapter 154 Self-adaptive FastICA Based on Generalized Gaussian Model
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    Chapter 155 An Efficient Independent Component Analysis Algorithm for Sub-Gaussian Sources
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    Chapter 156 ICA and Committee Machine-Based Algorithm for Cursor Control in a BCI System
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    Chapter 157 Fast Independent Component Analysis for Face Feature Extraction
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    Chapter 158 Affine Invariant Descriptors for Color Images Based on Independent Component Analysis
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    Chapter 159 A New Image Protection and Authentication Technique Based on ICA
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    Chapter 160 Locally Spatiotemporal Saliency Representation: The Role of Independent Component Analysis
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    Chapter 161 A Multistage Decomposition Approach for Adaptive Principal Component Analysis
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    Chapter 162 A New Kalman Filtering Algorithm for Nonlinear Principal Component Analysis
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    Chapter 163 An Improvement on PCA Algorithm for Face Recognition
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    Chapter 164 A Modified PCA Neural Network to Blind Estimation of the PN Sequence in Lower SNR DS-SS Signals
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    Chapter 165 A Modified MCA EXIN Algorithm and Its Convergence Analysis
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    Chapter 166 Robust Beamforming by a Globally Convergent MCA Neural Network
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Title
Advances in Neural Networks - ISNN 2005
Published by
Springer Science & Business Media, May 2005
DOI 10.1007/b136476
ISBNs
978-3-54-025912-1, 978-3-54-032065-4
Editors

Wang, Jun, Liao, Xiaofeng, Yi, Zhang

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 10%
China 1 10%
Unknown 8 80%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 50%
Researcher 3 30%
Student > Master 1 10%
Unspecified 1 10%
Readers by discipline Count As %
Computer Science 9 90%
Unspecified 1 10%

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