Rabu, 01 Mei 2019

Tree-Structure based Hybrid Computational Intelligence

Tree-Structure based Hybrid Computational Intelligence
By:Yuehui Chen,Ajith Abraham
Published on 2009-11-27 by Springer Science & Business Media


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 find the comprehensive coverage of this book invaluable.

This Book was ranked at 38 by Google Books for keyword fuzzy thinking the new science of fuzzy logic.

Book ID of Tree-Structure based Hybrid Computational Intelligence's Books is v_AvCXmFossC, Book which was written byYuehui Chen,Ajith Abrahamhave ETAG "CIyhwLJ3S4k"

Book which was published by Springer Science & Business Media since 2009-11-27 have ISBNs, ISBN 13 Code is 9783642047398 and ISBN 10 Code is 3642047394

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Book which have "206 Pages" is Printed at BOOK under CategoryComputers

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Tree-Structure based Hybrid Computational Intelligence

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