人工神经网络 - ICANN 2006 /会议录 第I部分LNCS-4131: Artificial neural networks - ICANN 2006
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作者： Stefanos Kollias著
出 版 社： 湖北辞书出版社
出版时间： 2006-12-1字数：版次： 1页数： 1008印刷时间： 2006/12/01开本：印次：纸张： 胶版纸I S B N ： 9783540386254包装： 平装编辑推荐
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内容简介
The two volume set LNCS 4131 and LNCS 4132 constitutes the refereed proceedings of the 16th International Conference on Artificial Neural Networks, ICANN 2006, held in Athens, Greece, in September 2006.
The 208 revised full papers presented were carefully reviewed and selected from 475 submissions. The 103 papers of the first volume are organized in topical sections on feature selection and dimension reduction for regression, learning algorithms, advances in neural network learning methods, ensemble learning, learning random neural networks and stochastic agents, hybrid architectures, self organization, connectionist cognitive science, cognitive machines, neural dynamics and complex systems, computational neuroscience, neural control, reinforcement learning and robotics applications, robotics, control, planning, as well as bio-inspired neural network on-chip implementation and applications. The second volume contains 105 contributions related to neural networks, semantic web technologies and multimedia analysis, bridging the semantic gap in multimedia machine learning approaches, signal and time series processing, data analysis, pattern recognition, visual attention algorithms and architectures for perceptional understanding and video coding, vision and image processing, computational finance and economics, neural computing in energy engineering, applications to biomedicine and bioinformatics, applications to security and market analysis, as well as real world applications.
目录
Feature Selection and Dimension Reductionfor Regression (Special Session)
Dimensionality Reduction Based on ICA for Regression Problems
A Functional Approach to Variable Selection in SpectrometricProblems
The Bayes-Optimal Feature Extraction Procedure for PatternRecognition Using Genetic Algorithm
Speeding Up the Wrapper Feature Subset Selection in Regressionby Mutual Information Relevance and Redundancy Analysis
Effective Input Variable Selection for Function Approximation
Comparative Investigation on Dimension Reduction and Regressionin Three Layer Feed-Forward Neural Network
Learning Algorithms (I)
On-Line Learning with Structural Adaptation in a Network of SpikingNeurons for Visual Pattern Recognition
Learning Long Term Dependencies with Recurrent Neural Networks
Adaptive On-Line Neural Network Retraining for Real Life MultimodalEmotion Recognition
Time Window Width Influence on Dynamic BPTT(h) LearningAlgorithm Performances: Experimental Study
Framework for the Interactive Learning of Artificial NeuralNetworks
Analytic Equivalence of Bayes a Posteriori Distributions
Learning Algorithms (II)
Neural Network Architecture Selection: Size Depends on FunctionComplexity
Competitive Repetition-suppression (CoRe) Learning
Real-Time Construction of Neural Networks
MaxMinOver Regression: A Simple Incremental Approach for SupportVector Function Approximation
A Variational Formulation for the Multilayer Perceptron
Advances in Neural Network Learning Methods(Special Session)
Natural Conjugate Gradient Training of Multilayer Perceptrons
Building Ensembles of Neural Networks with Class-Switching
K-Separability
……
Ensemble Learning
Learning Random Neural Networks ansd Stochastic Agents (Special Session)
Hybrid Architectures
Self Organizxation
Connectionist Cognitive Science
Cogntive Machines(Special Session)
Neural Dynamics and Complex Systems
Computational Neurscience
Neural Control,Reinforcement Learning and Robotics Applications
Robotics,Control,Planning
Bio-ingspired Neural Network On-Chip Implementation and Applications (Special session)
Author Index
