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Tree-Structure Based Hybrid Computational Intelligence: Theoretical Foundations and Applications (Intelligent Systems Reference Library)

Tree-Structure Based Hybrid Computational Intelligence: Theoretical Foundations and Applications (Intelligent Systems Reference Library)

Tree-Structure Based Hybrid Computational Intelligence: Theoretical Foundations
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Tree-Structure Based Hybrid Computational Intelligence: Theoretical Foundations and Applications (Intelligent Systems Reference Library) Hardback - 2009 - 2010th Edition

by Yuehui Chen; Ajith Abraham

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Details

  • Title Tree-Structure Based Hybrid Computational Intelligence: Theoretical Foundations and Applications (Intelligent Systems Reference Library)
  • Author Yuehui Chen; Ajith Abraham
  • Binding Hardback
  • Edition number 2010th
  • Edition 2010
  • Condition New
  • Pages 206
  • Volumes 1
  • Language ENG
  • Publisher Springer
  • Publication date 2009-11-03
  • Illustrated Yes
  • Features Bibliography, Illustrated, Table of Contents
  • Bookseller's Inventory # 7595001
  • ISBN 9783642047381 / 3642047386
  • Weight 1.08 lbs (0.49 kg)
  • Dimensions 9.21 x 6.14 x 0.56 in (23.39 x 15.60 x 1.42 cm)
  • Category Computers - General Information
  • Library of Congress Catalogue Number 2009936208
  • Dewey Decimal Code 006.3
  • Quantity available 5

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Reader reviews for Tree-Structure Based Hybrid Computational Intelligence: Theoretical Foundations and Applications (Intelligent Systems Reference Library)

From the publisher

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.

From the rear cover

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.

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