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Intelligent Systems Reference Library

Tree-Structure based Hybrid Computational Intelligence

Theoretical Foundations and Applications

Authors: Chen, Yuehui, Abraham, Ajith

  • Covers the new field of Flexible Neural Trees Networks in a well structured way
  • Presents the state of the art of Flexible Neural Trees networks for researchers and graduate students
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eBook $159.00
price for USA (gross)
  • ISBN 978-3-642-04739-8
  • Digitally watermarked, DRM-free
  • Included format: PDF
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  • Immediate eBook download after purchase
Hardcover $209.00
price for USA
  • ISBN 978-3-642-04738-1
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $209.00
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  • ISBN 978-3-642-26120-6
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
About this book

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.

Reviews

From the reviews:

“The book puts forward a hierarchical hybrid computational intelligence framework, in which models of a hierarchical structure and appropriate types of function operators are created and optimized by means of computational intelligence techniques. … The book is both informative and stimulating and thus becomes an interesting and valuable source.” (Ruxandra Stoean, Zentralblatt MATH, Vol. 1195, 2010)

Table of contents (6 chapters)

  • Foundations of Computational Intelligence

    Chen, Yuehui (et al.)

    Pages 3-36

  • Flexible Neural Tree: Foundations and Applications

    Chen, Yuehui (et al.)

    Pages 39-96

  • Hierarchical Neural Networks

    Chen, Yuehui (et al.)

    Pages 99-125

  • Hierarchical Fuzzy Systems

    Chen, Yuehui (et al.)

    Pages 129-147

  • Reverse Engineering of Dynamic Systems

    Chen, Yuehui (et al.)

    Pages 151-182

Buy this book

eBook $159.00
price for USA (gross)
  • ISBN 978-3-642-04739-8
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $209.00
price for USA
  • ISBN 978-3-642-04738-1
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $209.00
price for USA
  • ISBN 978-3-642-26120-6
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Tree-Structure based Hybrid Computational Intelligence
Book Subtitle
Theoretical Foundations and Applications
Authors
Series Title
Intelligent Systems Reference Library
Series Volume
2
Copyright
2010
Publisher
Springer-Verlag Berlin Heidelberg
Copyright Holder
Springer-Verlag Berlin Heidelberg
eBook ISBN
978-3-642-04739-8
DOI
10.1007/978-3-642-04739-8
Hardcover ISBN
978-3-642-04738-1
Softcover ISBN
978-3-642-26120-6
Series ISSN
1868-4394
Edition Number
1
Number of Pages
XIV, 206
Topics