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Titlebook: Soft Computing in Industrial Applications; Recent and Emerging Ashraf Saad,Keshav Dahal,Rajkumar Roy Conference proceedings 2007 Springer-

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书目名称Soft Computing in Industrial Applications
副标题Recent and Emerging
编辑Ashraf Saad,Keshav Dahal,Rajkumar Roy
视频video
概述contains a collection of papers that were presented at the 11th On-line World Conference on Soft Computing in Industrial Applications, held in September-October 2006
丛书名称Advances in Intelligent and Soft Computing
图书封面Titlebook: Soft Computing in Industrial Applications; Recent and Emerging  Ashraf Saad,Keshav Dahal,Rajkumar Roy Conference proceedings 2007 Springer-
描述.Soft Computing admits approximate reasoning, imprecision, uncertainty and partial truth in order to mimic aspects of the remarkable human capability of making decisions in real-life and ambiguous environments. "Soft Computing in Industrial Applications" contains a collection of papers that were presented at the 11.th. On-line World Conference on Soft Computing in Industrial Applications, held in September-October 2006. This carefully edited book provides a comprehensive overview of the recent advances in the industrial applications of soft computing and covers a wide range of application areas, including data analysis and data mining, computer graphics, intelligent control, systems, pattern recognition, classifiers, as well as modeling optimization. The book is aimed at researchers and practitioners who are engaged in developing and applying intelligent systems principles to solving real-world problems. It is also suitable as wider reading for science and engineering postgraduate students..
出版日期Conference proceedings 2007
关键词Wrapper; classification; cognition; data mining; evolution; genetic algorithm; genetic programming; kernel;
版次1
doihttps://doi.org/10.1007/978-3-540-70706-6
isbn_softcover978-3-540-70704-2
isbn_ebook978-3-540-70706-6Series ISSN 1867-5662 Series E-ISSN 1867-5670
issn_series 1867-5662
copyrightSpringer-Verlag Berlin Heidelberg 2007
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B-Spline Neural Network Using an Artificial Immune Network Applied to Identification of a Ball-and-To adjust the control points of a BSNN. The numerical results presented here indicate that artificial immune network optimization methods useful for building a good BSNN model for the nonlinear identification of an experimental nonlinear ball-and-tube system.
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