Table of Contents

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   Book Overview
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   Chapter 1 A Novel Learning Algorithm for Wavelet Neural Networks
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   Chapter 2 Using Unscented Kalman Filter for Training the Minimal Resource Allocation Neural Network
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   Chapter 3 The Improved CMAC Model and Learning Result Analysis
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   Chapter 4 A New Smooth Support Vector Regression Based on ε -Insensitive Logistic Loss Function
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   Chapter 5 Neural Network Classifier Based on the Features of Multi-lead ECG
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   Chapter 6 A New Learning Algorithm for Diagonal Recurrent Neural Network
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   Chapter 7 Study of On-line Weighted Least Squares Support Vector Machines
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   Chapter 8 Globally Exponential Stability Analysis and Estimation of the Exponential Convergence Rate for Neural Networks with Multiple Time Varying Delays
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    Chapter 9 Locally Determining the Number of Neighbors in the k -Nearest Neighbor Rule Based on Statistical Confidence
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    Chapter 10 Fuzzy Self-Organizing Map Neural Network Using Kernel PCA and the Application
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    Chapter 11 An Evolved Recurrent Neural Network and Its Application
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    Chapter 12 Self-organized Locally Linear Embedding for Nonlinear Dimensionality Reduction
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    Chapter 13 Active Learning for Probabilistic Neural Networks
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    Chapter 14 Adaptive Training of Radial Basis Function Networks Using Particle Swarm Optimization Algorithm
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    Chapter 15 A Game-Theoretic Approach to Competitive Learning in Self-Organizing Maps
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    Chapter 16 A Novel Intrusions Detection Method Based on HMM Embedded Neural Network
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    Chapter 17 Generate Different Neural Networks by Negative Correlation Learning
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    Chapter 18 New Training Method and Optimal Structure of Backpropagation Networks
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    Chapter 19 Learning Outliers to Refine a Corpus for Chinese Webpage Categorization
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    Chapter 20 Bio-kernel Self-organizing Map for HIV Drug Resistance Classification
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    Chapter 21 A New Learning Algorithm Based on Lever Principle
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    Chapter 22 An Effective Method to Improve Convergence for Sequential Blind Source Separation
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    Chapter 23 A Novel LDA Approach for High-Dimensional Data
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    Chapter 24 Research and Design of Distributed Neural Networks with Chip Training Algorithm
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    Chapter 25 Support Vector Regression with Smoothing Property
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    Chapter 26 A Fast SMO Training Algorithm for Support Vector Regression
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    Chapter 27 Rival Penalized Fuzzy Competitive Learning Algorithm
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    Chapter 28 A New Predictive Vector Quantization Method Using a Smaller Codebook
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    Chapter 29 Performance Improvement of Fuzzy RBF Networks
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    Chapter 30 Universal Approach to Study Delayed Dynamical Systems
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    Chapter 31 Long-Range Connections Based Small-World Network and Its Synchronizability
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    Chapter 32 Double Synaptic Weight Neuron Theory and Its Application
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    Chapter 33 Comparative Study of Chaotic Neural Networks with Different Models of Chaotic Noise
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    Chapter 34 A Learning Model in Qubit Neuron According to Quantum Circuit
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    Chapter 35 An Algorithm for Pruning Redundant Modules in Min-Max Modular Network with GZC Function
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    Chapter 36 A General Procedure for Combining Binary Classifiers and Its Performance Analysis
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    Chapter 37 A Modular Structure of Auto-encoder for the Integration of Different Kinds of Information
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    Chapter 38 Adaptive and Competitive Committee Machine Architecture
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    Chapter 39 An ART2/RBF Hybrid Neural Networks Research
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    Chapter 40 Complex Number Procedure Neural Networks
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    Chapter 41 Urban Traffic Signal Timing Optimization Based on Multi-layer Chaos Neural Networks Involving Feedback
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    Chapter 42 Research on a Direct Adaptive Neural Network Control Method of Nonlinear Systems
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    Chapter 43 Improving the Resultant Quality of Kohonen’s Self Organizing Map Using Stiffness Factor
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    Chapter 44 A Novel Orthonormal Wavelet Network for Function Learning
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    Chapter 45 Fuzzy Back-Propagation Network for PCB Sales Forecasting
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    Chapter 46 An Evolutionary Artificial Neural Networks Approach for BF Hot Metal Silicon Content Prediction
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    Chapter 47 Application of Chaotic Neural Model Based on Olfactory System on Pattern Recognitions
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    Chapter 48 Double Robustness Analysis for Determining Optimal Feedforward Neural Network Architecture
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    Chapter 49 Stochastic Robust Stability Analysis for Markovian Jump Neural Networks with Time Delay
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    Chapter 50 Observation of Crises and Bifurcations in the Hodgkin-Huxley Neuron Model
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    Chapter 51 An Application of Pattern Recognition Based on Optimized RBF-DDA Neural Networks
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    Chapter 52 Global Exponential Stability of Cellular Neural Networks with Time-Varying Delays
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    Chapter 53 Effect of Noises on Two-Layer Hodgkin-Huxley Neuronal Network
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    Chapter 54 Adaptive Co-ordinate Transformation Based on a Spike Timing-Dependent Plasticity Learning Paradigm
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    Chapter 55 Modeling of Short-Term Synaptic Plasticity Using Dynamic Synapses
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    Chapter 56 A Chaotic Model of Hippocampus-Neocortex
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    Chapter 57 Stochastic Neuron Model with Dynamic Synapses and Evolution Equation of Its Density Function
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    Chapter 58 Learning Algorithm for Spiking Neural Networks
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    Chapter 59 Exponential Convergence of Delayed Neural Networks
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    Chapter 60 A Neural Network for Constrained Saddle Point Problems: An Approximation Approach
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    Chapter 61 Implementing Fuzzy Reasoning by IAF Neurons
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    Chapter 62 A Method for Quantifying Temporal and Spatial Patterns of Spike Trains
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    Chapter 63 A Stochastic Nonlinear Evolution Model and Dynamic Neural Coding on Spontaneous Behavior of Large-Scale Neuronal Population
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    Chapter 64 Study on Circle Maps Mechanism of Neural Spikes Sequence
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    Chapter 65 Synchronous Behaviors of Hindmarsh-Rose Neurons with Chemical Coupling
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    Chapter 66 A Simple Quantile Regression via Support Vector Machine
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    Chapter 67 Doubly Regularized Kernel Regression with Heteroscedastic Censored Data
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    Chapter 68 Support Vector Based Prototype Selection Method for Nearest Neighbor Rules
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    Chapter 69 A Prediction Interval Estimation Method for KMSE
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    Chapter 70 An Information-Geometrical Approach to Constructing Kernel in Support Vector Regression Machines
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    Chapter 71 Training Data Selection for Support Vector Machines
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    Chapter 72 Model Selection for Regularized Least-Squares Classification
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    Chapter 73 Modelling of Chaotic Systems with Recurrent Least Squares Support Vector Machines Combined with Reconstructed Embedding Phase Space
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    Chapter 74 Least-Squares Wavelet Kernel Method for Regression Estimation
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    Chapter 75 Fuzzy Support Vector Machines Based on λ —Cut
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    Chapter 76 Mixtures of Kernels for SVM Modeling
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    Chapter 77 A Novel Parallel Reduced Support Vector Machine
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    Chapter 78 Recurrent Support Vector Machines in Reliability Prediction
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    Chapter 79 A Modified SMO Algorithm for SVM Regression and Its Application in Quality Prediction of HP-LDPE
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    Chapter 80 Gait Recognition via Independent Component Analysis Based on Support Vector Machine and Neural Network
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    Chapter 81 Uncertainty Support Vector Method for Ordinal Regression
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    Chapter 82 An Incremental Learning Method Based on SVM for Online Sketchy Shape Recognition
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    Chapter 83 Eigenspectra Versus Eigenfaces: Classification with a Kernel-Based Nonlinear Representor
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    Chapter 84 Blind Extraction of Singularly Mixed Source Signals
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    Chapter 85 Application of Support Vector Machines in Predicting Employee Turnover Based on Job Performance
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    Chapter 86 Palmprint Recognition Based on Unsupervised Subspace Analysis
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    Chapter 87 A New Alpha Seeding Method for Support Vector Machine Training
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    Chapter 88 Multiple Acoustic Sources Location Based on Blind Source Separation
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    Chapter 89 Short-Term Load Forecasting Based on Self-organizing Map and Support Vector Machine
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    Chapter 90 A Multi-class Classifying Algorithm Based on Nonlinear Dimensionality Reduction and Support Vector Machines
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    Chapter 91 A VSC Scheme for Linear MIMO Systems Based on SVM
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    Chapter 92 Global Convergence of FastICA: Theoretical Analysis and Practical Considerations
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    Chapter 93 SVM Based Nonparametric Model Identification and Dynamic Model Control
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    Chapter 94 Learning SVM Kernel with Semi-definite Programming
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    Chapter 95 Weighted On-line SVM Regression Algorithm and Its Application
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    Chapter 96 Convergence of an Online Gradient Method for BP Neural Networks with Stochastic Inputs
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    Chapter 97 A Constructive Algorithm for Wavelet Neural Networks
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    Chapter 98 Stochastic High-Order Hopfield Neural Networks
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     Chapter 99 Predicting with Confidence – An Improved Dynamic Cell Structure
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     Chapter 100 An Efficient Score Function Generation Algorithm with Information Maximization
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     Chapter 101 A New Criterion on Exponential Stability of a Class of Discrete Cellular Neural Networks with Time Delay
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     Chapter 102 A Novel Local Connection Neural Network
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     Chapter 103 An Unsupervised Cooperative Pattern Recognition Model to Identify Anomalous Massive SNMP Data Sending
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     Chapter 104 A Fast Nonseparable Wavelet Neural Network for Function Approximation
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     Chapter 105 A Visual Cortex Domain Model for Illusory Contour Figures
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     Chapter 106 ANN Ensemble Online Learning Strategy in 3D Object Cognition and Recognition Based on Similarity
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     Chapter 107 Design and Implementation of the Individualized Intelligent Teachable Agent
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     Chapter 108 Comparison of Complexity and Regularity of ERP Recordings Between Single and Dual Tasks Using Sample Entropy Algorithm
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     Chapter 109 Representation of a Physio-psychological Index Through Constellation Graphs
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     Chapter 110 Neural Network Based Emotion Estimation Using Heart Rate Variability and Skin Resistance
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     Chapter 111 Modeling Belief, Capability and Promise for Cognitive Agents – A Modal Logic Approach
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     Chapter 112 PENCIL: A Framework for Expressing Free-Hand Sketching in 3D
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     Chapter 113 Blocking Artifacts Measurement Based on the Human Visual System
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     Chapter 114 A Computation Model of Korean Lexical Processing
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     Chapter 115 Neuroanatomical Analysis for Onomatopoeia and Phainomime Words: fMRI Study
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     Chapter 116 Cooperative Aspects of Selective Attention
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     Chapter 117 Selective Attention Guided Perceptual Grouping Model
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     Chapter 118 Visual Search for Object Features
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     Chapter 119 Agent Based Decision Support System Using Reinforcement Learning Under Emergency Circumstances
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     Chapter 120 Dynamic Inputs and Attraction Force Analysis for Visual Invariance and Transformation Estimation
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     Chapter 121 Task-Oriented Sparse Coding Model for Pattern Classification
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     Chapter 122 Robust Face Recognition from One Training Sample per Person
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     Chapter 123 Chinese Word Sense Disambiguation Using HowNet
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     Chapter 124 Modeling Human Learning as Context Dependent Knowledge Utility Optimization
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     Chapter 125 Automatic Text Summarization Based on Lexical Chains
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     Chapter 126 A General fMRI Linear Convolution Model Based Dynamic Characteristic
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     Chapter 127 A KNN-Based Learning Method for Biology Species Categorization
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     Chapter 128 Application of Emerging Patterns for Multi-source Bio-Data Classification and Analysis
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     Chapter 129 Nonlinear Kernel MSE Methods for Cancer Classification
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     Chapter 130 Fusing Face and Fingerprint for Identity Authentication by SVM
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     Chapter 131 A New Algorithm of Multi-modality Medical Image Fusion Based on Pulse-Coupled Neural Networks
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     Chapter 132 Cleavage Site Analysis Using Rule Extraction from Neural Networks
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     Chapter 133 Prediction Rule Generation of MHC Class I Binding Peptides Using ANN and GA
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     Chapter 134 Combined Kernel Function Approach in SVM for Diagnosis of Cancer
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     Chapter 135 Automatic Liver Segmentation of Contrast Enhanced CT Images Based on Histogram Processing
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     Chapter 136 An Improved Adaptive RBF Network for Classification of Left and Right Hand Motor Imagery Tasks
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     Chapter 137 Similarity Analysis of DNA Sequences Based on the Relative Entropy
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     Chapter 138 Can Circulating Matrix Metalloproteinases Be Predictors of Breast Cancer? A Neural Network Modeling Study
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     Chapter 139 Blind Clustering of DNA Fragments Based on Kullback-Leibler Divergence
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     Chapter 140 Prediction of Protein Subcellular Locations Using Support Vector Machines
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     Chapter 141 Neuroinformatics Research in China- Current Status and Future Research Activities
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     Chapter 142 Australian Neuroinformatics Research – Grid Computing and e-Research
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     Chapter 143 Current Status and Future Research Activities in Clinical Neuroinformatics: Singaporean Perspective
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     Chapter 144 Japanese Neuroinformatics Research: Current Status and Future Research Program of J-Node
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     Chapter 145 Optimal TDMA Frame Scheduling in Broadcasting Packet Radio Networks Using a Gradual Noisy Chaotic Neural Network
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     Chapter 146 A Fast Online SVM Algorithm for Variable-Step CDMA Power Control
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     Chapter 147 Fourth-Order Cumulants and Neural Network Approach for Robust Blind Channel Equalization
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     Chapter 148 Equalization of a Wireless ATM Channel with Simplified Complex Bilinear Recurrent Neural Network
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     Chapter 149 A Novel Remote User Authentication Scheme Using Interacting Neural Network
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     Chapter 150 Genetic Algorithm Simulated Annealing Based Clustering Strategy in MANET
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     Chapter 151 A Gradual Training Algorithm of Incremental Support Vector Machine Learning
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     Chapter 152 An Improved Method of Feature Selection Based on Concept Attributes in Text Classification
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     Chapter 153 Research on the Decision Method for Enterprise Information Investment Based on IA-BP Network
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     Chapter 154 Process Control and Management of Etching Process Using Data Mining with Quality Indexes
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     Chapter 155 Automatic Knowledge Configuration by Reticular Activating System
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     Chapter 156 An Improved Information Retrieval Method and Input Device Using Gloves for Wearable Computers
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     Chapter 157 Research on Design and Implementation of the Artificial Intelligence Agent for Smart Home Based on Support Vector Machine
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     Chapter 158 A Self-organized Network for Data Clustering
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     Chapter 159 A General Criterion of Synchronization Stability in Ensembles of Coupled Systems and Its Application
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     Chapter 160 Complexity of Linear Cellular Automata over ℤ m
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     Chapter 161 Applications of Genetic Algorithm for Artificial Neural Network Model Discovery and Performance Surface Optimization in Finance
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     Chapter 162 Mining Data by Query-Based Error-Propagation
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     Chapter 163 The Application of Structured Feedforward Neural Networks to the Modelling of the Daily Series of Currency in Circulation
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     Chapter 164 Time Delay Neural Networks and Genetic Algorithms for Detecting Temporal Patterns in Stock Markets
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     Chapter 165 The Prediction of the Financial Time Series Based on Correlation Dimension
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     Chapter 166 Gradient-Based FCM and a Neural Network for Clustering of Incomplete Data
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     Chapter 167 Toward Global Optimization of ANN Supported by Instance Selection for Financial Forecasting
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     Chapter 168 FranksTree: A Genetic Programming Approach to Evolve Derived Bracketed L-Systems
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     Chapter 169 Data Clustering with a Neuro-immune Network