人工神经网络 - ICANN 2006 /会议录 第I部分LNCS-4131

出版时间：2006-12  出版社：湖北辞书出版社  作者：Kollias, Stefanos; Stafylopatis, Andreas; Duch, Wlodzislaw  页数：1008  

内容概要

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.

书籍目录

Feature Selection and Dimension Reduction　for Regression (Special Session)　Dimensionality Reduction Based on ICA for Regression Problems　A Functional Approach to Variable Selection in Spectrometric　Problems  　The Bayes-Optimal Feature Extraction Procedure for Pattern　Recognition Using Genetic Algorithm　Speeding Up the Wrapper Feature Subset Selection in Regression　by Mutual Information Relevance and Redundancy Analysis　Effective Input Variable Selection for Function Approximation　Comparative Investigation on Dimension Reduction and Regression　in Three Layer Feed-Forward Neural NetworkLearning Algorithms (I)　On-Line Learning with Structural Adaptation in a Network of Spiking　Neurons for Visual Pattern Recognition　Learning Long Term Dependencies with Recurrent Neural Networks　Adaptive On-Line Neural Network Retraining for Real Life Multimodal　Emotion Recognition　Time Window Width Influence on Dynamic BPTT(h) Learning　Algorithm Performances: Experimental Study　Framework for the Interactive Learning of Artificial Neural　Networks　Analytic Equivalence of Bayes a Posteriori DistributionsLearning Algorithms (II)　Neural Network Architecture Selection: Size Depends on Function　Complexity　Competitive Repetition-suppression (CoRe) Learning　Real-Time Construction of Neural Networks　MaxMinOver Regression: A Simple Incremental Approach for Support　Vector Function Approximation　A Variational Formulation for the Multilayer PerceptronAdvances 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 LearningLearning Random Neural Networks ansd Stochastic Agents (Special Session)Hybrid ArchitecturesSelf OrganizxationConnectionist Cognitive ScienceCogntive Machines(Special Session)Neural Dynamics and Complex SystemsComputational NeurscienceNeural Control,Reinforcement Learning and Robotics ApplicationsRobotics,Control,PlanningBio-ingspired Neural Network On-Chip Implementation and Applications (Special session)Author Index