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Advances in Neural Networks – ISNN 2004 : International Symposium on Neural Networks, Dalian, China, August 2004, Proceedings, Part I

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Cover of 'Advances in Neural Networks – ISNN 2004 : International Symposium on Neural Networks, Dalian, China, August 2004, Proceedings, Part I'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Approximation Bounds by Neural Networks in  L ω p [-4pt]
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    Chapter 2 Geometric Interpretation of Nonlinear Approximation Capability for Feedforward Neural Networks
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    Chapter 3 Mutual Information and Topology 1: Asymmetric Neural Network
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    Chapter 4 Mutual Information and Topology 2: Symmetric Network
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    Chapter 5 Simplified PCNN and Its Periodic Solutions
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    Chapter 6 On Robust Periodicity of Delayed Dynamical Systems with Time-Varying Parameters
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    Chapter 7 Delay-Dependent Criteria for Global Stability of Delayed Neural Network System
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    Chapter 8 Stability Analysis of Uncertain Neural Networks with Delay
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    Chapter 9 A New Method for Robust Stability Analysis of a Class of Recurrent Neural Networks with Time Delays
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    Chapter 10 Criteria for Stability in Neural Network Models with Iterative Maps
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    Chapter 11 Exponential Stability Analysis for Neural Network with Parameter Fluctuations
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    Chapter 12 Local Stability and Bifurcation in a Model of Delayed Neural Network
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    Chapter 13 On the Asymptotic Stability of Non-autonomous Delayed Neural Networks
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    Chapter 14 Global Exponential Stability of Cohen-Grossberg Neural Networks with Multiple Time-Varying Delays
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    Chapter 15 Stability of Stochastic Cohen-Grossberg Neural Networks
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    Chapter 16 A Novel Approach to Exponential Stability Analysis of Cohen-Grossberg Neural Networks
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    Chapter 17 Analysis for Global Robust Stability of Cohen-Grossberg Neural Networks with Multiple Delays
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    Chapter 18 On Robust Stability of BAM Neural Networks with Constant Delays
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    Chapter 19 Absolutely Exponential Stability of BAM Neural Networks with Distributed Delays
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    Chapter 20 Stability Analysis of Discrete-Time Cellular Neural Networks
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    Chapter 21 Novel Exponential Stability Criteria for Fuzzy Cellular Neural Networks with Time-Varying Delay
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    Chapter 22 Stability of Discrete Hopfield Networks with Delay in Serial Mode
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    Chapter 23 Further Results for an Estimation of Upperbound of Delays for Delayed Neural Networks
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    Chapter 24 Synchronization in Two Uncoupled Chaotic Neurons
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    Chapter 25 Robust Synchronization of Coupled Delayed Recurrent Neural Networks
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    Chapter 26 Self-Optimizing Neural Networks
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    Chapter 27 Genetically Optimized Self-Organizing Neural Networks Based on PNs and FPNs
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    Chapter 28 A New Approach to Self-Organizing Hybrid Fuzzy Polynomial Neural Networks: Synthesis of Computational Intelligence Technologies
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    Chapter 29 On Soft Learning Vector Quantization Based on Reformulation
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    Chapter 30 A New Approach to Self-Organizing Polynomial Neural Networks by Means of Genetic Algorithms
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    Chapter 31 Fuzzy-Kernel Learning Vector Quantization
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    Chapter 32 Genetic Generation of High-Degree-of-Freedom Feed-Forward Neural Networks
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    Chapter 33 Self-Organizing Feature Map Based Data Mining
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    Chapter 34 Diffusion and Growing Self-Organizing Map: A Nitric Oxide Based Neural Model
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    Chapter 35 A New Adaptive Self-Organizing Map
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    Chapter 36 Evolving Flexible Neural Networks Using Ant Programming and PSO Algorithm
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    Chapter 37 Surrogating Neurons in an Associative Chaotic Neural Network
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    Chapter 38 Ensembles of RBFs Trained by Gradient Descent
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    Chapter 39 Gradient Descent Training of Radial Basis Functions
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    Chapter 40 Recent Developments on Convergence of Online Gradient Methods for Neural Network Training
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    Chapter 41 A Regularized Line Search Tunneling for Efficient Neural Network Learning
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    Chapter 42 Transductive Learning Machine Based on the Affinity-Rule for Semi-supervised Problems and Its Algorithm
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    Chapter 43 A Learning Algorithm with Gaussian Regularizer for Kernel Neuron
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    Chapter 44 An Effective Learning Algorithm of Synergetic Neural Network
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    Chapter 45 Sparse Bayesian Learning Based on an Efficient Subset Selection
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    Chapter 46 A Novel Fuzzy Neural Network with Fast Training and Accurate Generalization
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    Chapter 47 Tuning Neuro-Fuzzy Function Approximator by Tabu Search
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    Chapter 48 Finite Convergence of MRI Neural Network for Linearly Separable Training Patterns
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    Chapter 49 A Rapid Two-Step Learning Algorithm for Spline Activation Function Neural Networks with the Application on Biped Gait Recognition
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    Chapter 50 An Online Feature Learning Algorithm Using HCI-Based Reinforcement Learning
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    Chapter 51 Optimizing the Weights of Neural Networks Based on Antibody Clonal Simulated Annealing Algorithm
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    Chapter 52 Backpropagation Analysis of the Limited Precision on High-Order Function Neural Networks
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    Chapter 53 LMS Adaptive Notch Filter Design Based on Immune Algorithm
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    Chapter 54 Training Radial Basis Function Networks with Particle Swarms
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    Chapter 55 Optimizing Weights by Genetic Algorithm for Neural Network Ensemble
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    Chapter 56 Survival Density Particle Swarm Optimization for Neural Network Training
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    Chapter 57 Modified Error Function with Added Terms for the Backpropagation Algorithm
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    Chapter 58 Robust Constrained-LMS Algorithm
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    Chapter 59 A Novel Three-Phase Algorithm for RBF Neural Network Center Selection
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    Chapter 60 Editing Training Data for kNN Classifiers with Neural Network Ensemble
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    Chapter 61 Learning Long-Term Dependencies in Segmented Memory Recurrent Neural Networks
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    Chapter 62 An Optimal Neural-Network Model for Learning Posterior Probability Functions from Observations
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    Chapter 63 The Layered Feed-Forward Neural Networks and Its Rule Extraction
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    Chapter 64 Analysing Contributions of Components and Factors to Pork Odour Using Structural Learning with Forgetting Method
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    Chapter 65 On Multivariate Calibration Problems
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    Chapter 66 Control of Associative Chaotic Neural Networks Using a Reinforcement Learning
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    Chapter 67 A Method to Improve the Transiently Chaotic Neural Network
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    Chapter 68 A New Neural Network for Nonlinear Constrained Optimization Problems
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    Chapter 69 Delay PCNN and Its Application for Optimization
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    Chapter 70 A New Parallel Improvement Algorithm for Maximum Cut Problem
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    Chapter 71 A New Neural Network Algorithm for Clique Vertex-Partition Problem
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    Chapter 72 An Algorithm Based on Hopfield Network Learning for Minimum Vertex Cover Problem
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    Chapter 73 A Subgraph Isomorphism Algorithm Based on Hopfield Neural Network
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    Chapter 74 A Positively Self-Feedbacked Hopfield Neural Network for N-Queens Problem
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    Chapter 75 NN-Based GA for Engineering Optimization
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    Chapter 76 Applying GENET to the JSSCSOP
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    Chapter 77 Improvements to Bennett’s Nearest Point Algorithm for Support Vector Machines
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    Chapter 78 Distance-Based Selection of Potential Support Vectors by Kernel Matrix
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    Chapter 79 A Learning Method for Robust Support Vector Machines
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    Chapter 80 A Cascade Method for Reducing Training Time and the Number of Support Vectors
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    Chapter 81 Minimal Enclosing Sphere Estimation and Its Application to SVMs Model Selection
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    Chapter 82 Constructing Support Vector Classifiers with Unlabeled Data
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    Chapter 83 Nested Buffer SMO Algorithm for Training Support Vector Classifiers
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    Chapter 84 Support Vector Classifier with a Fuzzy-Value Class Label
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    Chapter 85 RBF Kernel Based Support Vector Machine with Universal Approximation and Its Application
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    Chapter 86 A Practical Parameters Selection Method for SVM
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    Chapter 87 Ho–Kashyap with Early Stopping Versus Soft Margin SVM for Linear Classifiers –An Application
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    Chapter 88 Radar HRR Profiles Recognition Based on SVM with Power-Transformed-Correlation Kernel
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    Chapter 89 Hydrocarbon Reservoir Prediction Using Support Vector Machines
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    Chapter 90 Toxic Vapor Classification and Concentration Estimation for Space Shuttle and International Space Station
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    Chapter 91 Optimal Watermark Detection Based on Support Vector Machines
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    Chapter 92 Online LS-SVM Learning for Classification Problems Based on Incremental Chunk
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    Chapter 93 A Novel Approach to Clustering Analysis Based on Support Vector Machine
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    Chapter 94 Application of Support Vector Machine in Queuing System
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    Chapter 95 Modelling of Chaotic Systems with Novel Weighted Recurrent Least Squares Support Vector Machines
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    Chapter 96 Nonlinear System Identification Based on an Improved Support Vector Regression Estimator
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    Chapter 97 Anomaly Detection Using Support Vector Machines
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    Chapter 98 Power Plant Boiler Air Preheater Hot Spots Detection System Based on Least Square Support Vector Machines
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    Chapter 99 Support Vector Machine Multiuser Detector for TD-SCDMA Communication System in Multipath Channels
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    Chapter 100 Eyes Location by Hierarchical SVM Classifiers
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    Chapter 101 Classification of Stellar Spectral Data Using SVM
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    Chapter 102 Iris Recognition Using Support Vector Machines
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    Chapter 103 Heuristic Genetic Algorithm-Based Support Vector Classifier for Recognition of Remote Sensing Images
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    Chapter 104 Landmine Feature Extraction and Classification of GPR Data Based on SVM Method
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    Chapter 105 Occupant Classification for Smart Airbag Using Stereovision and Support Vector Machines
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    Chapter 106 Support Vector Machine Committee for Classification
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    Chapter 107 Automatic Modulation Classification by Support Vector Machines
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    Chapter 108 Blind Source Separation Using for Time-Delay Direction Finding
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    Chapter 109 Frequency-Domain Separation Algorithms for Instantaneous Mixtures
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    Chapter 110 Cumulant-Based Blind Separation of Convolutive Mixtures
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    Chapter 111 A New Blind Source Separation Method Based on Fractional Lower Order Statistics and Neural Network
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    Chapter 112 A Clustering Approach for Blind Source Separation with More Sources than Mixtures
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    Chapter 113 A Blind Source Separation Algorithm with Linear Prediction Filters
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    Chapter 114 A Blind Source Separation Based Micro Gas Sensor Array Modeling Method
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    Chapter 115 A Novel Denoising Algorithm Based on Feedforward Multilayer Blind Separation
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    Chapter 116 The Existence of Spurious Equilibrium in FastICA
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    Chapter 117 Hardware Implementation of Pulsed Neural Networks Based on Delta-Sigma Modulator for ICA
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    Chapter 118 Study on Object Recognition Based on Independent Component Analysis
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    Chapter 119 Application of ICA Method for Detecting Functional MRI Activation Data
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    Chapter 120 Single-Trial Estimation of Multi-channel VEP Signals Using Independent Component Analysis
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    Chapter 121 Data Hiding in Independent Components of Video
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    Chapter 122 Multisensor Data Fusion Based on Independent Component Analysis for Fault Diagnosis of Rotor
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    Chapter 123 Substructural Damage Detection Using Neural Networks and ICA
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    Chapter 124 Speech Segregation Using Constrained ICA
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    Chapter 125 Adaptive RLS Implementation of Non-negative PCA Algorithm for Blind Source Separation
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    Chapter 126 Progressive Principal Component Analysis
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    Chapter 127 Extracting Target Information in Multispectral Images Using a Modified KPCA Approach
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    Chapter 128 Use PCA Neural Network to Extract the PN Sequence in Lower SNR DS/SS Signals
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    Chapter 129 Hierarchical PCA-NN for Retrieving the Optical Properties of Two-Layer Tissue Model
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    Chapter 130 Principal Component Analysis Neural Network Based Probabilistic Tracking of Unpaved Road
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    Chapter 131 Chemical Separation Process Monitoring Based on Nonlinear Principal Component Analysis
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    Chapter 132 An Adjusted Gaussian Skin-Color Model Based on Principal Component Analysis
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    Chapter 133 Convergence Analysis for Oja+ MCA Learning Algorithm
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    Chapter 134 On the Discrete Time Dynamics of the MCA Neural Networks
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    Chapter 135 The Cook Projection Index Estimation Using the Wavelet Kernel Function
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    Chapter 136 Automatic Cluster Number Determination via BYY Harmony Learning
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    Chapter 137 Unsupervised Learning for Hierarchical Clustering Using Statistical Information
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    Chapter 138 Document Clustering Algorithm Based on Tree-Structured Growing Self-Organizing Feature Map
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    Chapter 139 Improved SOM Clustering for Software Component Catalogue
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    Chapter 140 Classification by Multilayer Feedforward Ensembles
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    Chapter 141 Robust Face Recognition from a Single Training Image per Person with Kernel-Based SOM-Face
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    Chapter 142 Unsupervised Feature Selection for Multi-class Object Detection Using Convolutional Neural Networks
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    Chapter 143 Recurrent Network as a Nonlinear Line Attractor for Skin Color Association
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    Chapter 144 A Bayesian Classifier by Using the Adaptive Construct Algorithm of the RBF Networks
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    Chapter 145 An Improved Analytical Center Machine for Classification
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    Chapter 146 Analysis of Fault Tolerance of a Combining Classifier
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    Chapter 147 Training Multilayer Perceptron with Multiple Classifier Systems
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    Chapter 148 Learning the Supervised NLDR Mapping for Classification
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    Chapter 149 Comparison with Two Classification Algorithms of Remote Sensing Image Based on Neural Network
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    Chapter 150 Some Experiments with Ensembles of Neural Networks for Classification of Hyperspectral Images
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    Chapter 151 SAR Image Recognition Using Synergetic Neural Networks Based on Immune Clonal Programming
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    Chapter 152 Speaker Identification Using Reduced RBF Networks Array
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    Chapter 153 Underwater Acoustic Targets Classification Using Welch Spectrum Estimation and Neural Networks
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    Chapter 154 Automatic Digital Modulation Recognition Using Wavelet Transform and Neural Networks
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    Chapter 155 Local Face Recognition Based on the Combination of ICA and NFL
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    Chapter 156 Facial Expression Recognition Using Kernel Discriminant Plane
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    Chapter 157 Application of CMAC-Based Networks on Medical Image Classification
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    Chapter 158 Seismic Pattern Recognition of Nuclear Explosion Based on Generalization Learning Algorithm of BP Network and Genetic Algorithm
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    Chapter 159 A Remote Sensing Image Classification Method Using Color and Texture Feature
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    Chapter 160 Remote Sensing Image Classification Based on Evidence Theory and Neural Networks
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    Chapter 161 Neural Networks in Detection and Identification of Littoral Oil Pollution by Remote Sensing
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    Chapter 162 Identifying Pronunciation-Translated Names from Chinese Texts Based on Support Vector Machines
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    Chapter 163 FPGA Implementation of Feature Extraction and Neural Network Classifier for Handwritten Digit Recognition
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    Chapter 164 Replicator Neural Networks for Outlier Modeling in Segmental Speech Recognition
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    Chapter 165 A Novel Approach to Stellar Recognition by Combining EKF and RBF Net
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    Chapter 166 Pattern Recognition Based on Stability of Discrete Time Cellular Neural Networks
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    Chapter 167 The Recognition of the Vehicle License Plate Based on Modular Networks
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    Chapter 168 Neural Network Associator for Images and Their Chinese Characters
  170. Altmetric Badge
    Chapter 169 Exploring Various Features to Optimize Hot Topic Retrieval on WEB
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Title
Advances in Neural Networks – ISNN 2004 : International Symposium on Neural Networks, Dalian, China, August 2004, Proceedings, Part I
Published by
Springer Berlin Heidelberg, August 2004
DOI 10.1007/b99834
ISBNs
978-3-54-022841-7, 978-3-54-028647-9
Editors

Yin, Fu-Liang, Guo, Chengan, Wang, Jun

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 8 100%

Demographic breakdown

Readers by professional status Count As %
Professor 2 25%
Other 1 13%
Unknown 5 63%
Readers by discipline Count As %
Computer Science 3 38%
Unknown 5 63%