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Advances in Neural Networks - ISNN 2008

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Table of Contents

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    Book Overview
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    Chapter 1 Single Trial Evoked Potentials Study during an Emotional Processing Based on Wavelet Transform
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    Chapter 2 Robust Speaker Modeling Based on Constrained Nonnegative Tensor Factorization
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    Chapter 3 A Hypothesis on How the Neocortex Extracts Information for Prediction in Sequence Learning
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    Chapter 4 MENN Method Applications for Stock Market Forecasting
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    Chapter 5 New Chaos Produced from Synchronization of Chaotic Neural Networks
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    Chapter 6 A Two Stage Energy Model Exhibiting Selectivity to Changing Disparity
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    Chapter 7 A Feature Extraction Method Based on Wavelet Transform and NMFs
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    Chapter 8 Similarity Measures between Connection Numbers of Set Pair Analysis
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    Chapter 9 Temporal Properties of Illusory-Surface Perception Probed with Poggendorff Configuration
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    Chapter 10 Interval Self-Organizing Map for Nonlinear System Identification and Control
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    Chapter 11 A Dual-Mode Learning Mechanism Combining Knowledge-Education and Machine-Learning
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    Chapter 12 The Effect of Task Relevance on Electrophysiological Response to Emotional Stimuli
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    Chapter 13 A Detailed Study on the Modulation of Emotion Processing by Spatial Location
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    Chapter 14 MATLAB Simulation and Comparison of Zhang Neural Network and Gradient Neural Network for Time-Varying Lyapunov Equation Solving
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    Chapter 15 Improved Global Exponential Stability Criterion for BAM Neural Networks with Time-Varying Delays
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    Chapter 16 Global Exponential Stability and Periodicity of CNNs with Time-Varying Discrete and Distributed Delays
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    Chapter 17 Estimation of Value-at-Risk for Exchange Risk Via Kernel Based Nonlinear Ensembled Multi Scale Model
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    Chapter 18 Delay-Dependent Global Asymptotic Stability in Neutral-Type Delayed Neural Networks with Reaction-Diffusion Terms
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    Chapter 19 Discrimination of Reconstructed Milk in Raw Milk by Combining Near Infrared Spectroscopy with Biomimetic Pattern Recognition
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    Chapter 20 Data Fusion Based on Neural Networks and Particle Swarm Algorithm and Its Application in Sugar Boiling
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    Chapter 21 Asymptotic Law of Likelihood Ratio for Multilayer Perceptron Models
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    Chapter 22 An On-Line Learning Radial Basis Function Network and Its Application
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    Chapter 23 A Hybrid Model of Partial Least Squares and RBF Neural Networks for System Identification
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    Chapter 24 Nonlinear Complex Neural Circuits Analysis and Design by q-Value Weighted Bounded Operator
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    Chapter 25 Fuzzy Hyperbolic Neural Network Model and Its Application in H  ∞  Filter Design
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    Chapter 26 On the Domain Attraction of Fuzzy Neural Networks
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    Chapter 27 CG-M-FOCUSS and Its Application to Distributed Compressed Sensing
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    Chapter 28 Dynamic of Cohen-Grossberg Neural Networks with Variable Coefficients and Time-Varying Delays
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    Chapter 29 Permutation Free Encoding Technique for Evolving Neural Networks
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    Chapter 30 Six-Element Linguistic Truth-Valued Intuitionistic Reasoning in Decision Making
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    Chapter 31 A Sequential Learning Algorithm for RBF Networks with Application to Ship Inverse Control
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    Chapter 32 Implementation of Neural Network Learning with Minimum L 1 -Norm Criteria in Fractional Order Non-gaussian Impulsive Noise Environments
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    Chapter 33 Stability of Neural Networks with Parameters Disturbed by White Noises
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    Chapter 34 Neural Control of Uncertain Nonlinear Systems with Minimum Control Effort
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    Chapter 35 Three Global Exponential Convergence Results of the GPNN for Solving Generalized Linear Variational Inequalities
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    Chapter 36 Disturbance Attenuating Controller Design for a Class of Nonlinear Systems with Unknown Time-Delay
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    Chapter 37 Stability Criteria with Less Variables for Neural Networks with Time-Varying Delay
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    Chapter 38 Robust Stability of Uncertain Neural Networks with Time-Varying Delays
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    Chapter 39 Novel Coupled Map Lattice Model for Prediction of EEG Signal
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    Chapter 40 Adaptive Synchronization of Delayed Chaotic Systems
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    Chapter 41 Research on Fish Intelligence for Fish Trajectory Prediction Based on Neural Network
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    Chapter 42 A Hybrid MCDM Method for Route Selection of Multimodal Transportation Network
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    Chapter 43 Function Approximation by Neural Networks
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    Chapter 44 Robot Navigation Based on Fuzzy RL Algorithm
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    Chapter 45 Nuclear Reactor Reactivity Prediction Using Feed Forward Artificial Neural Networks
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    Chapter 46 Active Noise Control Using a Feedforward Network with Online Sequential Extreme Learning Machine
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    Chapter 47 A Probabilistic Method to Estimate Life Expectancy of Application Software
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    Chapter 48 Particle Filter with Improved Proposal Distribution for Vehicle Tracking
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    Chapter 49 Cluster Selection Based on Coupling for Gaussian Mean Fields
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    Chapter 50 Multiresolution Image Fusion Algorithm Based on Block Modeling and Probabilistic Model
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    Chapter 51 An Evolutionary Approach for Vector Quantization Codebook Optimization
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    Chapter 52 Kernel-Based Text Classification on Statistical Manifold
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    Chapter 53 A Boost Voting Strategy for Knowledge Integration and Decision Making
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    Chapter 54 A New Strategy for Pridicting Eukaryotic Promoter Based on Feature Boosting
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    Chapter 55 Searching for Interacting Features for Spam Filtering
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    Chapter 56 Structural Support Vector Machine
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    Chapter 57 The Turning Points on MLP’s Error Surface
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    Chapter 58 Parallel Fuzzy Reasoning Models with Ensemble Learning
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    Chapter 59 Classification and Dimension Reduction in Bank Credit Scoring System
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    Chapter 60 Polynomial Nonlinear Integrals
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    Chapter 61 Testing Error Estimates for Regularization and Radial Function Networks
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    Chapter 62 A Practical Clustering Algorithm
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    Chapter 63 Concise Coupled Neural Network Algorithm for Principal Component Analysis
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    Chapter 64 Spatial Clustering with Obstacles Constraints by Hybrid Particle Swarm Optimization with GA Mutation
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    Chapter 65 Analysis of the Kurtosis-Sum Objective Function for ICA
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    Chapter 66 BYY Harmony Learning on Weibull Mixture with Automated Model Selection
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    Chapter 67 A BYY Split-and-Merge EM Algorithm for Gaussian Mixture Learning
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    Chapter 68 A Comparative Study on Clustering Algorithms for Multispectral Remote Sensing Image Recognition
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    Chapter 69 A Gradient BYY Harmony Learning Algorithm for Straight Line Detection
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    Chapter 70 An Estimation of the Optimal Gaussian Kernel Parameter for Support Vector Classification
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    Chapter 71 Imbalanced SVM Learning with Margin Compensation
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    Chapter 72 Path Algorithms for One-Class SVM
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    Chapter 73 Simulations for American Option Pricing Under a Jump-Diffusion Model: Comparison Study between Kernel-Based and Regression-based Methods
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    Chapter 74 Global Convergence Analysis of Decomposition Methods for Support Vector Regression
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    Chapter 75 Rotating Fault Diagnosis Based on Wavelet Kernel Principal Component
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    Chapter 76 Inverse System Identification of Nonlinear Systems Using LSSVM Based on Clustering
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    Chapter 77 A New Approach to Division of Attribute Space for SVR Based Classification Rule Extraction
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    Chapter 78 Chattering-Free LS-SVM Sliding Mode Control
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    Chapter 79 Selection of Gaussian Kernel Parameter for SVM Based on Convex Estimation
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    Chapter 80 Multiple Sources Data Fusion Strategies Based on Multi-class Support Vector Machine
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    Chapter 81 A Generic Diffusion Kernel for Semi-supervised Learning
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    Chapter 82 Weighted Hyper-sphere SVM for Hypertext Classification
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    Chapter 83 Theoretical Analysis of a Rigid Coreset Minimum Enclosing Ball Algorithm for Kernel Regression Estimation
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    Chapter 84 Kernel Matrix Learning for One-Class Classification
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    Chapter 85 Structure Automatic Change in Neural Network
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    Chapter 86 Particle Swarm Optimization for Two-Stage FLA Problem with Fuzzy Random Demands
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    Chapter 87 T-S Fuzzy Model Identification Based on Chaos Optimization
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    Chapter 88 ADHDP for the pH Value Control in the Clarifying Process of Sugar Cane Juice
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    Chapter 89 Dynamic PSO-Neural Network: A Case Study for Urban Microcosmic Mobile Emission
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    Chapter 90 An Improvement to Ant Colony Optimization Heuristic
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    Chapter 91 Extension of a Polynomial Time Mehrotra-Type Predictor-Corrector Safeguarded Algorithm to Monotone Linear Complementarity Problems
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    Chapter 92 QoS Route Discovery of Ad Hoc Networks Based on Intelligence Computing
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    Chapter 93 Memetic Algorithm-Based Image Watermarking Scheme
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    Chapter 94 A Genetic Algorithm Using a Mixed Crossover Strategy
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    Chapter 95 Condition Prediction of Hydroelectric Generating Unit Based on Immune Optimized RBFNN
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    Chapter 96 Synthesis of a Hybrid Five-Bar Mechanism with Particle Swarm Optimization Algorithm
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    Chapter 97 Robust Model Predictive Control Using a Discrete-Time Recurrent Neural Network
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    Chapter 98 A PSO-Based Method for Min-ε Approximation of Closed Contour Curves
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Title
Advances in Neural Networks - ISNN 2008
Published by
Springer Berlin Heidelberg, September 2008
DOI 10.1007/978-3-540-87732-5
ISBNs
978-3-54-087731-8, 978-3-54-087732-5
Editors

Sun, Fuchun, Zhang, Jianwei, Tan, Ying, Cao, Jinde, Yu, Wen

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 199 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Portugal 1 <1%
Germany 1 <1%
Brazil 1 <1%
United Kingdom 1 <1%
Iran, Islamic Republic of 1 <1%
Spain 1 <1%
United States 1 <1%
Unknown 192 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 14 7%
Student > Master 12 6%
Researcher 5 3%
Student > Bachelor 4 2%
Professor > Associate Professor 4 2%
Other 4 2%
Unknown 156 78%
Readers by discipline Count As %
Engineering 22 11%
Computer Science 14 7%
Agricultural and Biological Sciences 2 1%
Business, Management and Accounting 1 <1%
Physics and Astronomy 1 <1%
Other 3 2%
Unknown 156 78%