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Titlebook: Tree-Structure based Hybrid Computational Intelligence; Theoretical Foundati Yuehui Chen,Ajith Abraham Book 2010 Springer-Verlag Berlin Hei

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書(shū)目名稱(chēng)Tree-Structure based Hybrid Computational Intelligence
副標(biāo)題Theoretical Foundati
編輯Yuehui Chen,Ajith Abraham
視頻videohttp://file.papertrans.cn/930/929829/929829.mp4
概述Covering the new field of Flexible Neural Trees Networks in a well structured way.The state of the art of Flexible Neural Trees networks for researchers and graduate students
叢書(shū)名稱(chēng)Intelligent Systems Reference Library
圖書(shū)封面Titlebook: Tree-Structure based Hybrid Computational Intelligence; Theoretical Foundati Yuehui Chen,Ajith Abraham Book 2010 Springer-Verlag Berlin Hei
描述.Research in computational intelligence is directed toward building thinking machines and improving our understanding of intelligence. As evident, the ultimate achievement in this field would be to mimic or exceed human cognitive capabilities including reasoning, recognition, creativity, emotions, understanding, learning and so on. In this book, the authors illustrate an hybrid computational intelligence framework and it applications for various problem solving tasks. Based on tree-structure based encoding and the specific function operators, the models can be flexibly constructed and evolved by using simple computational intelligence techniques. The main idea behind this model is the flexible neural tree, which is very adaptive, accurate and efficient. Based on the pre-defined instruction/operator sets, a flexible neural tree model can be created and evolved...This volume comprises of 6 chapters including an introductory chapter giving the fundamental definitions and the last Chapter provides some important research challenges. Academics, scientists as well as engineers engaged in research, development and application of computational intelligence techniques and data mining will f
出版日期Book 2010
關(guān)鍵詞cognition; computational intelligence; data mining; dynamical systems; emotion; fuzzy system; learning; neu
版次1
doihttps://doi.org/10.1007/978-3-642-04739-8
isbn_softcover978-3-642-26120-6
isbn_ebook978-3-642-04739-8Series ISSN 1868-4394 Series E-ISSN 1868-4408
issn_series 1868-4394
copyrightSpringer-Verlag Berlin Heidelberg 2010
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