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Titlebook: Developing Concepts in Applied Intelligence; Kishan G. Mehrotra,Chilukuri Mohan,Moonis Ali Book 2011 Springer Berlin Heidelberg 2011 Appli

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書目名稱Developing Concepts in Applied Intelligence
編輯Kishan G. Mehrotra,Chilukuri Mohan,Moonis Ali
視頻videohttp://file.papertrans.cn/270/269707/269707.mp4
概述Recent research on Developing Concepts in Applied Intelligence.Selected papers of the IEA/AIE-2011 International Conference on Industrial,Engineering & Other Applications of Applied Intelligent System
叢書名稱Studies in Computational Intelligence
圖書封面Titlebook: Developing Concepts in Applied Intelligence;  Kishan G. Mehrotra,Chilukuri Mohan,Moonis Ali Book 2011 Springer Berlin Heidelberg 2011 Appli
描述.The series .Studies in Computational Intelligence. (SCI) publishes new developments and advances in the various areas of computational intelligence – quickly and with a high quality. The intent is to cover the theory, applications, and design methods of computational intelligence, as embedded in the fields of engineering, computer science, physics and life science, as well as the methodologies behind them. The series contains monographs, lecture notes and edited volumes in computational intelligence spanning the areas of neural networks, connectionist systems, genetic algorithms, evolutionary computation, artificial intelligence, cellular automata, self-organizing systems, soft computing, fuzzy systems and hybrid intelligent systems. Critical to both contributors and readers are the short publication time and world-wide distribution – this permits a rapid and broad dissemination of research results..The field of “Artificial Intelligence” developed important concepts for simulating human intelligence. Its sister field, “Applied Intelligence”, has focused on techniques for developing intelligent systems for solving real life problems in all disciplines including science, social scie
出版日期Book 2011
關(guān)鍵詞Applied Intelligence; Computational Intelligence; Developing Concepts
版次1
doihttps://doi.org/10.1007/978-3-642-21332-8
isbn_softcover978-3-642-26860-1
isbn_ebook978-3-642-21332-8Series ISSN 1860-949X Series E-ISSN 1860-9503
issn_series 1860-949X
copyrightSpringer Berlin Heidelberg 2011
The information of publication is updating

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Using Class Decomposition for Building GA with Fuzzy Rule-Based Classifiers In this paper, a new approach using class-based partitioning is proposed to improve the performance of genetic-based classifiers. Rules are defined with fuzzy genes to represent variable length rules. We experimentally evaluate our approach on four different data sets and demonstrate that our algor
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