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Titlebook: Information Computing and Applications; 4th International Co Yuhang Yang,Maode Ma,Baoxiang Liu Conference proceedings 2013 Springer-Verlag

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书目名称Information Computing and Applications
副标题4th International Co
编辑Yuhang Yang,Maode Ma,Baoxiang Liu
视频video
丛书名称Communications in Computer and Information Science
图书封面Titlebook: Information Computing and Applications; 4th International Co Yuhang Yang,Maode Ma,Baoxiang Liu Conference proceedings 2013 Springer-Verlag
描述This two-volume set of CCIS 391 and CCIS 392 constitutes the refereed proceedings of the Fourth International Conference on Information Computing and Applications, ICICA 2013, held in Singapore, in August 2013. The 126 revised full papers presented in both volumes were carefully reviewed and selected from 665 submissions. The papers are organized in topical sections on Internet computing and applications; engineering management and applications; intelligent computing and applications; control engineering and applications; cloud and evolutionary computing; knowledge management and applications; computational statistics and applications.
出版日期Conference proceedings 2013
关键词cloud computing; computational management; computational statistics; modeling and simulation; networks a
版次1
doihttps://doi.org/10.1007/978-3-642-53932-9
isbn_softcover978-3-642-53931-2
isbn_ebook978-3-642-53932-9Series ISSN 1865-0929 Series E-ISSN 1865-0937
issn_series 1865-0929
copyrightSpringer-Verlag Berlin Heidelberg 2013
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Web Service Resources Aggregation Based on the Customer Behavior article aims to study the overall model of web service resources aggregation based on the isomerism customer behavior information in the internet, thus to provide structured and semantic intelligent service resources aggregation. First, this article constructs the overall model of customer behavior
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Adaptive Consensus of Multi-agents in Jointly Connected Networksntly connected. An adaptive consensus algorithm is proposed by using linear parameterizations of unknown nonlinear dynamics of all agents. By stability analysis and parameter convergence analysis of the proposed algorithm, adaptive consensus can be realized based on neighboring graphs. The stability
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