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Advances in Neural Networks - ISNN 2006

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Cover of 'Advances in Neural Networks - ISNN 2006'

Table of Contents

  1. Altmetric Badge
    Book Overview
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    Chapter 1 The Ideal Noisy Environment for Fast Neural Computation
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    Chapter 2 How Does a Neuron Perform Subtraction? – Arithmetic Rules of Synaptic Integration of Excitation and Inhibition
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    Chapter 3 Stochastic Resonance Enhancing Detectability of Weak Signal by Neuronal Networks Model for Receiver
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    Chapter 4 A Gaussian Dynamic Convolution Models of the FMRI BOLD Response
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    Chapter 5 Cooperative Motor Learning Model for Cerebellar Control of Balance and Locomotion
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    Chapter 6 A Model of Category Learning with Attention Augmented Simplistic Prototype Representation
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    Chapter 7 On the Learning Algorithms of Descriptive Models of High-Order Human Cognition
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    Chapter 8 A Neural Model on Cognitive Process
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    Chapter 9 Approximation Bound of Mixture Networks in $L^{p}_{\omega}$ Spaces
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    Chapter 10 Integral Transform and Its Application to Neural Network Approximation
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    Chapter 11 The Essential Approximation Order for Neural Networks with Trigonometric Hidden Layer Units
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    Chapter 12 Wavelets Based Neural Network for Function Approximation
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    Chapter 13 Passivity Analysis of Dynamic Neural Networks with Different Time-Scales
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    Chapter 14 Exponential Dissipativity of Non-autonomous Neural Networks with Distributed Delays and Reaction-Diffusion Terms
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    Chapter 15 Convergence Analysis of Continuous-Time Neural Networks
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    Chapter 16 Global Convergence of Continuous-Time Recurrent Neural Networks with Delays
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    Chapter 17 Global Exponential Stability in Lagrange Sense of Continuous-Time Recurrent Neural Networks
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    Chapter 18 Global Exponential Stability of Recurrent Neural Networks with Time-Varying Delay
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    Chapter 19 New Criteria of Global Exponential Stability for a Class of Generalized Neural Networks with Time-Varying Delays
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    Chapter 20 Dynamics of General Neural Networks with Distributed Delays
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    Chapter 21 On Equilibrium and Stability of a Class of Neural Networks with Mixed Delays
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    Chapter 22 Stability Analysis of Neutral Neural Networks with Time Delay
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    Chapter 23 Global Asymptotical Stability in Neutral-Type Delayed Neural Networks with Reaction-Diffusion Terms
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    Chapter 24 Almost Sure Exponential Stability on Interval Stochastic Neural Networks with Time-Varying Delays
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    Chapter 25 Stochastic Robust Stability of Markovian Jump Nonlinear Uncertain Neural Networks with Wiener Process
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    Chapter 26 Advances in Neural Networks - ISNN 2006
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    Chapter 27 Global Robust Stability of General Recurrent Neural Networks with Time-Varying Delays
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    Chapter 28 Robust Periodicity in Recurrent Neural Network with Time Delays and Impulses
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    Chapter 29 Global Asymptotical Stability of Cohen-Grossberg Neural Networks with Time-Varying and Distributed Delays
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    Chapter 30 LMI Approach to Robust Stability Analysis of Cohen-Grossberg Neural Networks with Multiple Delays
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    Chapter 31 Existence and Global Stability Analysis of Almost Periodic Solutions for Cohen-Grossberg Neural Networks
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    Chapter 32 A New Sufficient Condition on the Complete Stability of a Class Cellular Neural Networks
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    Chapter 33 Stability Analysis of Reaction-Diffusion Recurrent Cellular Neural Networks with Variable Time Delays
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    Chapter 34 Exponential Stability of Delayed Stochastic Cellular Neural Networks
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    Chapter 35 Global Exponential Stability of Cellular Neural Networks with Time-Varying Delays and Impulses
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    Chapter 36 Global Exponential Stability of Fuzzy Cellular Neural Networks with Variable Delays
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    Chapter 37 Stability of Fuzzy Cellular Neural Networks with Impulses
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    Chapter 38 Absolute Stability of Hopfield Neural Network
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    Chapter 39 Robust Stability Analysis of Uncertain Hopfield Neural Networks with Markov Switching
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    Chapter 40 Asymptotic Stability of Second-Order Discrete-Time Hopfield Neural Networks with Variable Delays
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    Chapter 41 Convergence Analysis of Discrete Delayed Hopfield Neural Networks
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    Chapter 42 An LMI-Based Approach to the Global Stability of Bidirectional Associative Memory Neural Networks with Variable Delay
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    Chapter 43 Existence of Periodic Solution of BAM Neural Network with Delay and Impulse
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    Chapter 44 On Control of Hopf Bifurcation in BAM Neural Network with Delayed Self-feedback
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    Chapter 45 Convergence and Periodicity of Solutions for a Class of Discrete-Time Recurrent Neural Network with Two Neurons
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    Chapter 46 Existence and Global Attractability of Almost Periodic Solution for Competitive Neural Networks with Time-Varying Delays and Different Time Scales
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    Chapter 47 Global Synchronization of Impulsive Coupled Delayed Neural Networks
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    Chapter 48 Synchronization of a Class of Coupled Discrete Recurrent Neural Networks with Time Delay
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    Chapter 49 Chaos and Bifurcation in a New Class of Simple Hopfield Neural Network
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    Chapter 50 Synchronization of Chaotic System with the Perturbation Via Orthogonal Function Neural Network
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    Chapter 51 Numerical Analysis of a Chaotic Delay Recurrent Neural Network with Four Neurons
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    Chapter 52 Autapse Modulated Bursting
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    Chapter 53 A Neural Network Model for Non-smooth Optimization over a Compact Convex Subset
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    Chapter 54 Differential Inclusions-Based Neural Networks for Nonsmooth Convex Optimization on a Closed Convex Subset
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    Chapter 55 A Recurrent Neural Network for Linear Fractional Programming with Bound Constraints
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    Chapter 56 A Delayed Lagrangian Network for Solving Quadratic Programming Problems with Equality Constraints
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    Chapter 57 Wavelet Chaotic Neural Networks and Their Application to Optimization Problems
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    Chapter 58 A New Optimization Algorithm Based on Ant Colony System with Density Control Strategy
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    Chapter 59 A New Neural Network Approach to the Traveling Salesman Problem
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    Chapter 60 Dynamical System for Computing Largest Generalized Eigenvalue
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    Chapter 61 A Concise Functional Neural Network for Computing the Extremum Eigenpairs of Real Symmetric Matrices
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    Chapter 62 A Novel Stochastic Learning Rule for Neural Networks
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    Chapter 63 Learning with Single Quadratic Integrate-and-Fire Neuron
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    Chapter 64 Manifold Learning of Vector Fields
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    Chapter 65 Similarity Measure for Vector Field Learning
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    Chapter 66 The Mahalanobis Distance Based Rival Penalized Competitive Learning Algorithm
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    Chapter 67 Dynamic Competitive Learning
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    Chapter 68 Hyperbolic Quotient Feature Map for Competitive Learning Neural Networks
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    Chapter 69 A Gradient Entropy Regularized Likelihood Learning Algorithm on Gaussian Mixture with Automatic Model Selection
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    Chapter 70 Self-organizing Neural Architecture for Reinforcement Learning
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    Chapter 71 On the Efficient Implementation Biologic Reinforcement Learning Using Eligibility Traces
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    Chapter 72 Combining Label Information and Neighborhood Graph for Semi-supervised Learning
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    Chapter 73 A Cerebellar Feedback Error Learning Scheme Based on Kalman Estimator for Tracing in Dynamic System
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    Chapter 74 An Optimal Iterative Learning Scheme for Dynamic Neural Network Modelling
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    Chapter 75 Delayed Learning on Internal Memory Network and Organizing Internal States
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    Chapter 76 A Novel Learning Algorithm for Feedforward Neural Networks
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    Chapter 77 On H  ∞  Filtering in Feedforward Neural Networks Training and Pruning
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    Chapter 78 A Node Pruning Algorithm Based on Optimal Brain Surgeon for Feedforward Neural Networks
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    Chapter 79 A Fast Learning Algorithm Based on Layered Hessian Approximations and the Pseudoinverse
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    Chapter 80 A Modular Reduction Method for k -NN Algorithm with Self-recombination Learning
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    Chapter 81 Selective Neural Network Ensemble Based on Clustering
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    Chapter 82 An Individual Adaptive Gain Parameter Backpropagation Algorithm for Complex-Valued Neural Networks
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    Chapter 83 Training Cellular Neural Networks with Stable Learning Algorithm
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    Chapter 84 A New Stochastic PSO Technique for Neural Network Training
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    Chapter 85 A Multi-population Cooperative Particle Swarm Optimizer for Neural Network Training
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    Chapter 86 Training RBF Neural Network with Hybrid Particle Swarm Optimization
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    Chapter 87 Robust Learning by Self-organization of Nonlinear Lines of Attractions
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    Chapter 88 Improved Learning Algorithm Based on Generalized SOM for Dynamic Non-linear System
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    Chapter 89 Q-Learning with FCMAC in Multi-agent Cooperation
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    Chapter 90 Q Learning Based on Self-organizing Fuzzy Radial Basis Function Network
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    Chapter 91 A Fuzzy Neural Networks with Structure Learning
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    Chapter 92 Reinforcement Learning-Based Tuning Algorithm Applied to Fuzzy Identification
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    Chapter 93 A New Learning Algorithm for Function Approximation Incorporating A Priori Information into Extreme Learning Machine
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    Chapter 94 Robust Recursive Complex Extreme Learning Machine Algorithm for Finite Numerical Precision
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    Chapter 95 Evolutionary Extreme Learning Machine – Based on Particle Swarm Optimization
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    Chapter 96 A Gradient-Based ELM Algorithm in Regressing Multi-variable Functions
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    Chapter 97 A New Genetic Approach to Structure Learning of Bayesian Networks
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    Chapter 98 Research on Multi-Degree-of-Freedom Neurons with Weighted Graphs
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    Chapter 99 Output PDF Shaping of Singular Weights System: Monotonical Performance Design
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    Chapter 100 Stochastic Time-Varying Competitive Neural Network Systems
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    Chapter 101 Heterogeneous Centroid Neural Networks
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    Chapter 102 Building Multi-layer Small World Neural Network
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    Chapter 103 Growing Hierarchical Principal Components Analysis Self-Organizing Map
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    Chapter 104 Hybrid Neural Network Model Based on Multi-layer Perceptron and Adaptive Resonance Theory
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    Chapter 105 Evolving Neural Networks Using the Hybrid of Ant Colony Optimization and BP Algorithms
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    Chapter 106 A Genetic Algorithm with Modified Tournament Selection and Efficient Deterministic Mutation for Evolving Neural Network
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    Chapter 107 A Neural Network Structure Evolution Algorithm Based on e, m Projections and Model Selection Criterion
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    Chapter 108 A Parallel Coevolutionary Immune Neural Network and Its Application to Signal Simulation
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    Chapter 109 A Novel Elliptical Basis Function Neural Networks Optimized by Particle Swarm Optimization
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    Chapter 110 Fuzzy Neural Network Optimization by a Particle Swarm Optimization Algorithm
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    Chapter 111 Fuzzy Rule Extraction Using Robust Particle Swarm Optimization
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    Chapter 112 A New Design Methodology of Fuzzy Set-Based Polynomial Neural Networks with Symbolic Gene Type Genetic Algorithms
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    Chapter 113 Design of Fuzzy Polynomial Neural Networks with the Aid of Genetic Fuzzy Granulation and Its Application to Multi-variable Process System
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    Chapter 114 A Novel Self-Organizing Fuzzy Polynomial Neural Networks with Evolutionary FPNs: Design and Analysis
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    Chapter 115 Design of Fuzzy Neural Networks Based on Genetic Fuzzy Granulation and Regression Polynomial Fuzzy Inference
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    Chapter 116 A New Fuzzy ART Neural Network Based on Dual Competition and Resonance Technique
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    Chapter 117 Simulated Annealing Based Learning Approach for the Design of Cascade Architectures of Fuzzy Neural Networks
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    Chapter 118 A New Fuzzy Identification Method Based on Adaptive Critic Designs
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    Chapter 119 Impacts of Perturbations of Training Patterns on Two Fuzzy Associative Memories Based on T-Norms
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    Chapter 120 Alpha-Beta Associative Memories for Gray Level Patterns
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    Chapter 121 Associative Memories Based on Discrete-Time Cellular Neural Networks with One-Dimensional Space-Invariant Templates
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    Chapter 122 Autonomous and Deterministic Probabilistic Neural Network Using Global k -Means
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    Chapter 123 Selecting Variables for Neural Network Committees
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    Chapter 124 An Adaptive Network Topology for Classification
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    Chapter 125 A Quantitative Comparison of Different MLP Activation Functions in Classification
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    Chapter 126 Estimating the Number of Hidden Neurons in a Feedforward Network Using the Singular Value Decomposition
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    Chapter 127 Neuron Selection for RBF Neural Network Classifier Based on Multiple Granularities Immune Network
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    Chapter 128 Hierarchical Radial Basis Function Neural Networks for Classification Problems
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    Chapter 129 Biased Wavelet Neural Network and Its Application to Streamflow Forecast
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    Chapter 130 A Goal Programming Based Approach for Hidden Targets in Layer-by-Layer Algorithm of Multilayer Perceptron Classifiers
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    Chapter 131 SLIT: Designing Complexity Penalty for Classification and Regression Trees Using the SRM Principle
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    Chapter 132 Flexible Neural Tree for Pattern Recognition
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    Chapter 133 A Novel Model of Artificial Immune Network and Simulations on Its Dynamics
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    Chapter 134 A Kernel Optimization Method Based on the Localized Kernel Fisher Criterion
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    Chapter 135 Genetic Granular Kernel Methods for Cyclooxygenase-2 Inhibitor Activity Comparison
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    Chapter 136 Support Vector Machines with Beta-Mixing Input Sequences
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    Chapter 137 Least Squares Support Vector Machine on Gaussian Wavelet Kernel Function Set
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    Chapter 138 A Smoothing Multiple Support Vector Machine Model
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    Chapter 139 Fuzzy Support Vector Machines Based on Spherical Regions
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    Chapter 140 Building Support Vector Machine Alternative Using Algorithms of Computational Geometry
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    Chapter 141 Cooperative Clustering for Training SVMs
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    Chapter 142 SVMV – A Novel Algorithm for the Visualization of SVM Classification Results
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    Chapter 143 Support Vector Machines Ensemble Based on Fuzzy Integral for Classification
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    Chapter 144 An Adaptive Support Vector Machine Learning Algorithm for Large Classification Problem
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    Chapter 145 SVDD-Based Method for Fast Training of Multi-class Support Vector Classifier
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    Chapter 146 Binary Tree Support Vector Machine Based on Kernel Fisher Discriminant for Multi-classification
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    Chapter 147 A Fast and Sparse Implementation of Multiclass Kernel Perceptron Algorithm
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    Chapter 148 Mutual Conversion of Regression and Classification Based on Least Squares Support Vector Machines
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    Chapter 149 Sparse Least Squares Support Vector Machine for Function Estimation
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    Chapter 150 A Multiresolution Wavelet Kernel for Support Vector Regression
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    Chapter 151 Multi-scale Support Vector Machine for Regression Estimation
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    Chapter 152 Gradient Based Fuzzy C-Means Algorithm with a Mercer Kernel
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    Chapter 153 An Efficient Similarity-Based Validity Index for Kernel Clustering Algorithm
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    Chapter 154 Fuzzy Support Vector Clustering
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    Chapter 155 An SVM Classification Algorithm with Error Correction Ability Applied to Face Recognition
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    Chapter 156 A Boosting SVM Chain Learning for Visual Information Retrieval
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    Chapter 157 Nonlinear Estimation of Hyperspectral Mixture Pixel Proportion Based on Kernel Orthogonal Subspace Projection
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    Chapter 158 A New Proximal Support Vector Machine for Semi-supervised Classification
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    Chapter 159 Sparse Gaussian Processes Using Backward Elimination
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    Chapter 160 Comparative Study of Extreme Learning Machine and Support Vector Machine
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    Chapter 161 Multi-level Independent Component Analysis
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    Chapter 162 An ICA Learning Algorithm Utilizing Geodesic Approach
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    Chapter 163 An Extended Online Fast-ICA Algorithm
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    Chapter 164 Gradient Algorithm for Nonnegative Independent Component Analysis
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    Chapter 165 Unified Parametric and Non-parametric ICA Algorithm for Arbitrary Sources
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    Chapter 166 A Novel Kurtosis-Dependent Parameterized Independent Component Analysis Algorithm
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    Chapter 167 Local Stability Analysis of Maximum Nongaussianity Estimation in Independent Component Analysis
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    Chapter 168 Convergence Analysis of a Discrete-Time Single-Unit Gradient ICA Algorithm
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    Chapter 169 An Novel Algorithm for Blind Source Separation with Unknown Sources Number
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    Chapter 170 Blind Source Separation Based on Generalized Variance
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    Chapter 171 Blind Source Separation with Pattern Expression NMF
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    Chapter 172 Nonlinear Blind Source Separation Using Hybrid Neural Networks
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    Chapter 173 Identification of Mixing Matrix in Blind Source Separation
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    Chapter 174 Identification of Independent Components Based on Borel Measure for Under-Determined Mixtures
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    Chapter 175 Estimation of Delays and Attenuations for Underdetermined BSS in Frequency Domain
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    Chapter 176 Application of Blind Source Separation to Five-Element Cross Array Passive Location
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    Chapter 177 Convolutive Blind Separation of Non-white Broadband Signals Based on a Double-Iteration Method
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    Chapter 178 Multichannel Blind Deconvolution Using a Novel Filter Decomposition Method
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    Chapter 179 Two-Stage Blind Deconvolution for V-BLAST OFDM System
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    Chapter 180 A Comparative Study on Selection of Cluster Number and Local Subspace Dimension in the Mixture PCA Models
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    Chapter 181 Adaptive Support Vector Clustering for Multi-relational Data Mining
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    Chapter 182 Robust Data Clustering in Mercer Kernel-Induced Feature Space
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    Chapter 183 Pseudo-density Estimation for Clustering with Gaussian Processes
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    Chapter 184 Clustering Analysis of Competitive Learning Network for Molecular Data
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    Chapter 185 Self-Organizing Map Clustering Analysis for Molecular Data
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    Chapter 186 A Conscientious Rival Penalized Competitive Learning Text Clustering Algorithm
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    Chapter 187 Self-Organizing-Map-Based Metamodeling for Massive Text Data Exploration
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    Chapter 188 Ensemble Learning for Keyphrases Extraction from Scientific Document
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    Chapter 189 Grid-Based Fuzzy Support Vector Data Description
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    Chapter 190 Development of the Hopfield Neural Scheme for Data Association in Multi-target Tracking
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    Chapter 191 Determine Discounting Coefficient in Data Fusion Based on Fuzzy ART Neural Network
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    Chapter 192 Scientific Data Lossless Compression Using Fast Neural Network
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    Chapter 193 HyperSurface Classifiers Ensemble for High Dimensional Data Sets
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    Chapter 194 Designing a Decompositional Rule Extraction Algorithm for Neural Networks
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    Chapter 195 Estimating Fractal Intrinsic Dimension from the Neighborhood
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    Chapter 196 Dimensionality Reduction for Evolving RBF Networks with Particle Swarms
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    Chapter 197 Improved Locally Linear Embedding Through New Distance Computing
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    Chapter 198 An Incremental Linear Discriminant Analysis Using Fixed Point Method
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    Chapter 199 A Prewhitening RLS Projection Alternated Subspace Tracking (PAST) Algorithm
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    Chapter 200 Classification with the Hybrid of Manifold Learning and Gabor Wavelet
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    Chapter 201 A Novel Input Stochastic Sensitivity Definition of Radial Basis Function Neural Networks and Its Application to Feature Selection
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    Chapter 202 Using Ensemble Feature Selection Approach in Selecting Subset with Relevant Features
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    Chapter 203 A New Method for Feature Selection
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    Chapter 204 Improved Feature Selection Algorithm Based on SVM and Correlation
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    Chapter 205 Feature Selection in Text Classification Via SVM and LSI
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    Chapter 206 Parsimonious Feature Extraction Based on Genetic Algorithms and Support Vector Machines
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    Chapter 207 Feature Extraction for Time Series Classification Using Discriminating Wavelet Coefficients
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    Chapter 208 Feature Extraction of Underground Nuclear Explosions Based on NMF and KNMF
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    Chapter 209 Hidden Markov Model Networks for Multiaspect Discriminative Features Extraction from Radar Targets
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    Chapter 210 Application of Self-organizing Feature Neural Network for Target Feature Extraction
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    Chapter 211 Divergence-Based Supervised Information Feature Compression Algorithm
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Title
Advances in Neural Networks - ISNN 2006
Published by
Springer Berlin Heidelberg, May 2006
DOI 10.1007/11759966
ISBNs
978-3-54-034439-1, 978-3-54-034440-7
Editors

Wang, Jun, Yi, Zhang, Zurada, Jacek M., Lu, Bao-Liang, Yin, Hujun

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Mendeley readers

The data shown below were compiled from readership statistics for 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 35 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 3%
Unknown 34 97%
Readers by discipline Count As %
Computer Science 1 3%
Unknown 34 97%

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