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《自学习与自适应智能系统:新兴趋势与应用》(Intelligent Systems for Automated Learning and Adaptation: Emerging Trends and Applications)(Raymond Chiong)扫描版[PDF]

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  • 摘要:
    出版社Information Science Reference
    发行时间2009年10月15日
    语言英文
  • 时间: 2009/10/30 09:31:07 发布 | 2009/10/30 10:30:23 更新
  • 分类: 图书  计算机与网络 

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中文名自学习与自适应智能系统:新兴趋势与应用
原名Intelligent Systems for Automated Learning and Adaptation: Emerging Trends and Applications
资源格式PDF
版本扫描版
出版社Information Science Reference
书号1605667986
发行时间2009年10月15日
地区美国
语言英文
简介

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简介:

自学习与自适应智能系统:新兴趋势与应用提出了方法论,架构和自学习的途径,这些大量的探索研究包括有趣,创新的应用,进展和在智能计算方面的研究.

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目录

Foreword .............................................................................................................................................xii
Preface ................................................................................................................................................xiv
Acknowledgment ...............................................................................................................................xix
Section 1
Adaptive Learning Systems
Chapter 1
Dynamically Reconfgurable Hardware for Evolving Bio-Inspired Architectures .................................1
Andres Upegui, Haute Ecole d’Ingénierie et de Gestion du Canton de Vaud, Switzerland
Chapter 2
A Lyapunov Theory-Based Neural Network Approach for Face Recognition .....................................23
Li-Minn Ang, University of Nottingham Malaysia Campus, Malaysia
King Hann Lim, University of Nottingham Malaysia Campus, Malaysia
Kah Phooi Seng, University of Nottingham Malaysia Campus, Malaysia
Siew Wen Chin, University of Nottingham Malaysia Campus, Malaysia
Chapter 3
A Self-Organizing Neural Network to Approach Novelty Detection ...................................................49
Marcelo Keese Albertini, University of São Paulo, Brazil
Rodrigo Fernandes de Mello, University of São Paulo, Brazil
Chapter 4
Effcient Training Algorithm for Neuro-Fuzzy Network and its Application to Nonlinear
Sensor Characteristic Linearization ......................................................................................................72
Ajoy K. Palit, University of Bremen, Germany
Walter Anheier, University of Bremen, Germany
Section 2
Adaptive Evolutionary Systems
Chapter 5
A Review on Evolutionary Prototype Selection: An Empirical Study of Performance
and Effciency .......................................................................................................................................92
Salvador García, University of Granada, Spain
José Ramón Cano, University of Jaén, Spain
Francisco Herrera, University of Granada, Spain
Chapter 6
Evolutionary Approaches and Their Applications to Distributed Systems .........................................114
Thomas Weise, University of Kassel, Germany
Raymond Chiong, Swinburne University of Technology (Sarawak Campus), Malaysia
Chapter 7
Evolutionary Based Adaptive User Interfaces in Complex Supervisory Tasks ..................................150
Gary G. Yen, Oklahoma State University, USA
Chapter 8
Synthesis of Analog Circuits by Genetic Algorithms and their Optimization by Particle
Swarm Optimization ...........................................................................................................................173
Esteban Tlelo-Cuautle, Instituto Nacional de Astrofísica Óptica y Electrónica, México
Ivick Guerra-Gómez, Instituto Nacional de Astrofísica Óptica y Electrónica, México
Carlos Alberto Reyes-García, Instituto Nacional de Astrofísica Óptica y Electrónica, México
Miguel Aurelio Duarte-Villaseñor, Instituto Nacional de Astrofísica Óptica y Electrónica, México
Chapter 9
Statistical Analysis of Computational Intelligence Algorithms on a Multi- Objective Filter
Design Problem ...................................................................................................................................193
Flávio Teixeira, University of Victoria, Canada
Alexandre Ricardo Soares Romariz, University of Brasilia, Brazil
Section 3
Adaptive Collective Systems
Chapter 10
Diffusion and Emergence in Social Networks ....................................................................................231
Akira Namatame, National Defense Academy, Japan
Chapter 11
Ant Colony Programming: Application of Ant Colony System to Function Approximation .............248
Mariusz Boryczka, University of Silesia, Poland
Chapter 12
A Performance Comparison between Effciency and Pheromone Approaches in Dynamic
Manufacturing Scheduling ..................................................................................................................273
Paolo Renna, University of Basilicata, Italy
Compilation of References ..............................................................................................................299
About the Contributors ...................................................................................................................328
Index ...................................................................................................................................................334

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