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Titlebook: Emerging Intelligent Computing Technology and Applications; 8th International Co De-Shuang Huang,Phalguni Gupta,Prashan Premaratne Conferen

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書目名稱Emerging Intelligent Computing Technology and Applications
副標(biāo)題8th International Co
編輯De-Shuang Huang,Phalguni Gupta,Prashan Premaratne
視頻videohttp://file.papertrans.cn/309/308274/308274.mp4
概述Fast-track conference proceedings.State-of-the-art research.Up-to-date results
叢書名稱Communications in Computer and Information Science
圖書封面Titlebook: Emerging Intelligent Computing Technology and Applications; 8th International Co De-Shuang Huang,Phalguni Gupta,Prashan Premaratne Conferen
描述This book constitutes the refereed proceedings of the 8th International Conference on Intelligent Computing, ICIC 2012, held in Huangshan, China, in July 2012.The 242 revised full papers presented in the three volumes LNCS 7389, LNAI 7390, and CCIS 304 were carefully reviewed and selected from 753 submissions. The papers in this volume (CCIS 304) are organized in topical sections on Neural Networks; Particle Swarm Optimization and Niche Technology; Kernel Methods and Supporting Vector Machines; Biology Inspired Computing and Optimization; Knowledge Discovery and Data Mining; Intelligent Computing in Bioinformatics; Intelligent Computing in Pattern Recognition; Intelligent Computing in Image Processing; Intelligent Computing in Computer Vision; Intelligent Control and Automation; Knowledge Representation/Reasoning and Expert Systems; Advances in Information Security; Protein and Gene Bioinformatics; Soft Computing and Bio-Inspired Techiques in Real-World Applications; Bio-Inspired Computing and Applications.
出版日期Conference proceedings 2012
關(guān)鍵詞dynamic computation; evolutionary algorithm; information security; multimodal optimization; self-organiz
版次1
doihttps://doi.org/10.1007/978-3-642-31837-5
isbn_softcover978-3-642-31836-8
isbn_ebook978-3-642-31837-5Series ISSN 1865-0929 Series E-ISSN 1865-0937
issn_series 1865-0929
copyrightSpringer-Verlag Berlin Heidelberg 2012
The information of publication is updating

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https://doi.org/10.1007/978-3-658-17344-9vestigated. Two simple and practical criteria to guarantee the oscillations of the solutions for the system are derived. Some numerical simulations are given to justify our theoretical analysis result.
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Gemeinsam die Zukunft gestaltenivided into nominal model and lumped disturbance term which embodies modeling error, parameter uncertainties, disturbances and unmodeled dynamics. Fuzzy adaptive control was adopted to approach uncertain parameters of the system in real time; the impact of external disturbances was eliminated by rob
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Grundlagen der empirischen Untersuchung,se of penalty function to handle the constraints. CMPSO employs particle swarm optimization algorithm and Pareto neighborhood crossover operation to generate new population. Numerical experiments are compared with NSGA-II and MOPSO on three benchmark problems. The numerical results show the effectiv
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