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Titlebook: Computational Intelligence; International Confer De-Shuang Huang,Kang Li,George William Irwin Conference proceedings 2006 Springer-Verlag B

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发表于 2025-3-21 17:37:46 | 显示全部楼层 |阅读模式
书目名称Computational Intelligence
副标题International Confer
编辑De-Shuang Huang,Kang Li,George William Irwin
视频video
丛书名称Lecture Notes in Computer Science
图书封面Titlebook: Computational Intelligence; International Confer De-Shuang Huang,Kang Li,George William Irwin Conference proceedings 2006 Springer-Verlag B
描述The International Conference on Intelligent Computing (ICIC) was formed to provide an annual forum dedicated to the emerging and challenging topics in artificial intelligence, machine learning, bioinformatics, and computational biology, etc. It aims to bring together researchers and practitioners from both academia and industry to share ideas, problems and solutions related to the multifaceted aspects of intelligent computing. ICIC 2006 held in Kunming, Yunnan, China, August 16-19, 2006, was the second International Conference on Intelligent Computing, built upon the success of ICIC 2005 held in Hefei, China, 2005. This year, the conference concentrated mainly on the theories and methodologies as well as the emerging applications of intelligent computing. It intended to unify the contemporary intelligent computing techniques within an integral framework that highlights the trends in advanced computational intelligence and bridges theoretical research with applications. In particular, bio-inspired computing emerged as having a key role in pursuing for novel technology in recent years. The resulting techniques vitalize life science engineering and daily life applications. In light of
出版日期Conference proceedings 2006
关键词affective computing; algorithm; algorithms; artificial neural network; computational intelligence; evolut
版次1
doihttps://doi.org/10.1007/978-3-540-37275-2
isbn_softcover978-3-540-37274-5
isbn_ebook978-3-540-37275-2Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer-Verlag Berlin Heidelberg 2006
The information of publication is updating

书目名称Computational Intelligence影响因子(影响力)




书目名称Computational Intelligence影响因子(影响力)学科排名




书目名称Computational Intelligence网络公开度




书目名称Computational Intelligence网络公开度学科排名




书目名称Computational Intelligence被引频次




书目名称Computational Intelligence被引频次学科排名




书目名称Computational Intelligence年度引用




书目名称Computational Intelligence年度引用学科排名




书目名称Computational Intelligence读者反馈




书目名称Computational Intelligence读者反馈学科排名




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Conference proceedings 2006nced computational intelligence and bridges theoretical research with applications. In particular, bio-inspired computing emerged as having a key role in pursuing for novel technology in recent years. The resulting techniques vitalize life science engineering and daily life applications. In light of
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A GA Optimization for FLC with Its Rule Base and Scaling Factors Adjustmentic controllers. First a recursive rule base adjustment algorithm is developed, which has the benefit that it is computationally more efficient for the generation of a decision table. Then utilizing the advantage of GA optimization, a novel approach that each random combination of the optimized param
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Chance Constrained Maximum Flow Problem with Fuzzy Arc Capacities flow under some chance constraints with respect to credibility measure of arc flow of network. Some crisp equivalents of fuzzy chance constraints are presented when the fuzzy capacities are characterized by trapezoidal fuzzy numbers and general fuzzy numbers respectively. Furthermore, a genetic alg
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Delay-Dependent Stability of a Class of Nonlinear Systems with Time Delays Based on Fuzzy Hyperbolicolic model (FHM). FHM is a universal approximator, and can be used to establish the model for unknown complex systems. Moreover, the main advantage of using FHM over T-S fuzzy model is that no premise structure identification is need and no completeness design of premise variables space is need. Als
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Evaluation of the Aquaculture Pond Water Quality Based on Fuzzy Mathematics Modelthe weight of each of the water quality factors dependent on the fish tolerance to the factors of water quality integrated with the result of the expert questionnaire by the Delphi method with the Water Quality Standard, then constructs the fuzzy evaluation model of the multiplex water quality param
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Variable Universe Adaptive Fuzzy Sliding Mode Controller for a Class of Nonlinear Systemriable universe adaptive fuzzy sliding mode control (FSMC) is proposed. There are two sets of control rule bases. The first set is utilized to approach the equivalent control of SMC. By adjusting the universes of input variables and the membership fuzzy controller of conclusion part in rules on-line
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