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Titlebook: Computational Intelligence for Privacy and Security; David A. Elizondo,Agusti Solanas,Antoni Martinez-B Book 2012 Springer Berlin Heidelbe

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书目名称Computational Intelligence for Privacy and Security
编辑David A. Elizondo,Agusti Solanas,Antoni Martinez-B
视频video
概述Recent research on Computational Intelligence for Privacy and Security.Discusses the application tools of Computational Intelligence for Privacy and Security.Written by leading experts in the field
丛书名称Studies in Computational Intelligence
图书封面Titlebook: Computational Intelligence for Privacy and Security;  David A. Elizondo,Agusti Solanas,Antoni Martinez-B Book 2012 Springer Berlin Heidelbe
描述.The book is a collection of invited papers on Computational Intelligence for Privacy and Security. The majority of the chapters are extended versions of works presented at the special session on Computational Intelligence for Privacy and Security of the International Joint Conference on Neural Networks (IJCNN-2010) held July 2010 in Barcelona, Spain..The book is devoted to Computational Intelligence for Privacy and Security. It provides an overview of the most recent advances on the Computational Intelligence techniques being developed for Privacy and Security. The book will be of interest to researchers in industry and academics and to post-graduate students interested in the latest advances and developments in the field of Computational Intelligence for Privacy and Security. .
出版日期Book 2012
关键词Computational Intelligence; Privacy; Security
版次1
doihttps://doi.org/10.1007/978-3-642-25237-2
isbn_softcover978-3-642-44144-8
isbn_ebook978-3-642-25237-2Series ISSN 1860-949X Series E-ISSN 1860-9503
issn_series 1860-949X
copyrightSpringer Berlin Heidelberg 2012
The information of publication is updating

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Studies in Computational Intelligencehttp://image.papertrans.cn/c/image/232459.jpg
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https://doi.org/10.1007/978-3-540-38908-8omputational problems that may have a large number of solutions. In these cases, it may be almost unfeasible to determine the best one. Evolutionary computation is an appropriate technique for finding an optimal solution to a problem. Among these problems, evolutionary computation can provide an eff
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https://doi.org/10.1007/978-3-540-38908-8 in the computer science security field. In this paper, a comprehensive study of its topological behavior is proposed. It is stated that, in addition to being chaotic as defined in the Devaney’s formulation, this tool possesses the property of topological mixing. Additionally, its level of sensibili
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