下载地址：
下载地址1资源简介：
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作者: Raymond Chiong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: 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. 目录: Foreword .............................................................................................................................................xiiPreface ................................................................................................................................................xivAcknowledgment ...............................................................................................................................xixSection 1Adaptive Learning SystemsChapter 1Dynamically Reconfgurable Hardware for Evolving Bio-Inspired Architectures .................................1Andres Upegui, Haute Ecole d’Ingénierie et de Gestion du Canton de Vaud, SwitzerlandChapter 2A Lyapunov Theory-Based Neural Network Approach for Face Recognition .....................................23Li-Minn Ang, University of Nottingham Malaysia Campus, MalaysiaKing Hann Lim, University of Nottingham Malaysia Campus, MalaysiaKah Phooi Seng, University of Nottingham Malaysia Campus, MalaysiaSiew Wen Chin, University of Nottingham Malaysia Campus, MalaysiaChapter 3A Self-Organizing Neural Network to Approach Novelty Detection ...................................................49Marcelo Keese Albertini, University of São Paulo, BrazilRodrigo Fernandes de Mello, University of São Paulo, BrazilChapter 4Effcient Training Algorithm for Neuro-Fuzzy Network and its Application to NonlinearSensor Characteristic Linearization ......................................................................................................72Ajoy K. Palit, University of Bremen, GermanyWalter Anheier, University of Bremen, GermanySection 2Adaptive Evolutionary SystemsChapter 5A Review on Evolutionary Prototype Selection: An Empirical Study of Performanceand Effciency .......................................................................................................................................92Salvador García, University of Granada, SpainJosé Ramón Cano, University of Jaén, SpainFrancisco Herrera, University of Granada, SpainChapter 6Evolutionary Approaches and Their Applications to Distributed Systems .........................................114Thomas Weise, University of Kassel, GermanyRaymond Chiong, Swinburne University of Technology (Sarawak Campus), MalaysiaChapter 7Evolutionary Based Adaptive User Interfaces in Complex Supervisory Tasks ..................................150Gary G. Yen, Oklahoma State University, USAChapter 8Synthesis of Analog Circuits by Genetic Algorithms and their Optimization by ParticleSwarm Optimization ...........................................................................................................................173Esteban Tlelo-Cuautle, Instituto Nacional de Astrofísica Óptica y Electrónica, MéxicoIvick Guerra-Gómez, Instituto Nacional de Astrofísica Óptica y Electrónica, MéxicoCarlos Alberto Reyes-García, Instituto Nacional de Astrofísica Óptica y Electrónica, MéxicoMiguel Aurelio Duarte-Villaseñor, Instituto Nacional de Astrofísica Óptica y Electrónica, MéxicoChapter 9Statistical Analysis of Computational Intelligence Algorithms on a Multi- Objective FilterDesign Problem ...................................................................................................................................193Flávio Teixeira, University of Victoria, CanadaAlexandre Ricardo Soares Romariz, University of Brasilia, BrazilSection 3Adaptive Collective SystemsChapter 10Diffusion and Emergence in Social Networks ....................................................................................231Akira Namatame, National Defense Academy, JapanChapter 11Ant Colony Programming: Application of Ant Colony System to Function Approximation .............248Mariusz Boryczka, University of Silesia, PolandChapter 12A Performance Comparison between Effciency and Pheromone Approaches in DynamicManufacturing Scheduling ..................................................................................................................273Paolo Renna, University of Basilicata, ItalyCompilation of References ..............................................................................................................299About the Contributors ...................................................................................................................328Index ...................................................................................................................................................334
飞网下载站，免费下载共享资料，内容涉及教育资源、专业资料、IT资源、娱乐生活、经济管理、办公文书、游戏资料等。
