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Advances in Neural Networks - ISNN 2005神经网络进展-ISNN 2006 第二部分

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Advances in Neural Networks - ISNN 2005神经网络进展-ISNN 2006 第二部分

最 低 价:¥976.30

定 价:¥1084.80

作 者:Jun Wang 著

出 版 社:北京燕山出版社

出版时间:2005-8-1

I S B N:3540259139

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内容简介

The three volume set LNCS 3496/3497/3498 constitutes the refereed proceedings of the Second International Symposium on Neural Networks, ISNN 2005, held in Chongqing, China in May/June 2005. The 483 revised papers presented were carefully reviewed and selected from 1.425 submissions. The papers are organized in topical sections on theoretical analysis, model design, learning methods, optimization methods, kernel methods, component analysis, pattern analysis, systems modeling, signal processing, image processing, financial analysis, control systems, robotic systems, telecommunication networks, incidence detection, fault diagnosis, power systems, biomedical applications, industrial applications, and other applications.

作者简介

目录

7 Pattern Analysis
A New Approach for Classification: Visual Simulation Point of View
 A Novel Classifier with the Immune-Training Based Wavelet Neural Network .
 Fisher Subspace Tree Classifier Based on Neural Networks
 Classification Algorithms Based on Fisher Discriminant and Perceptron Neural Network
 Robust Classification of Immunity Clonal Synergetic Network Inspired by Fuzzy Integral
 An Improved Optimal Pairwise Coupling Classifier
 Improvement on Response Performance of Min-Max Modular Classifier by Symmetric Module Selection
 Principle for Outputs of Hidden Neurons in CC4 Network
 Chunk Incremental LDA Computing on Data Streams
 A Novel Clustering Method Based on SVM
 Clustering High-Dimensional Data Using Growing SOM
 A Novel Clustering Algorithm Based upon a SOFM Neural Network Family
 Advanced Visualization Techniques for Self-organizing Maps with Graph-Based Methods
 Selection of Optimal Features for Iris Recognition
 Application of Multi-weighted Neuron for Iris Recognition
 Robust Precise Eye Location by Adaboost and SVM Techniques
 Classification-Based Face Detection Using Compound Features
 Face Recognition Using RBF Neural Networks and Wavelet Transform
 Face Recognition Using Fisher Non-negative Matrix Factorization with Sparseness Constraints
 Gabor Features-Based Classification Using SVM for Face Recognition
 An Experimental Evaluation of Linear and Kernel-Based Classifiers for Face Recognition
 A Study on Illumination Invariant Face Recognition Methods
 Based on Multiple Eigenspaces
 Boosted Independent Features for Face Expression Recognition
 Intelligent Immigration Control System by Using Passport Recognition and Face Verification
 Recognition of Finger Spelling of American Sign Language with
 Artificial Neural Network Using Position/Orientation Sensors and Data Glove
 Fingerprint Minutia Recognition with Fuzzy Neural Network
 Fingerprint Classification Based on Curvature Sampling and RBF Neural Networks
……
8 System Modeling
9 Signal Processing
10 Image Processing
11 Financial Analysis

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