Tree-Structure based Hybrid Computational Intelligence

Theoretical Foundations and Applications

  • Yuehui Chen
  • Ajith Abraham

Part of the Intelligent Systems Reference Library book series (ISRL, volume 2)

Table of contents

  1. Front Matter
  2. Foundations of Computational Intelligence

    1. Front Matter
      Pages 1-1
    2. Yuehui Chen, Ajith Abraham
      Pages 3-36
  3. Flexible Neural Trees

    1. Front Matter
      Pages 37-37
    2. Yuehui Chen, Ajith Abraham
      Pages 39-96
  4. Hierarchical Neural Networks

    1. Front Matter
      Pages 97-97
    2. Yuehui Chen, Ajith Abraham
      Pages 99-125
  5. Hierarchical Fuzzy Systems

    1. Front Matter
      Pages 127-127
    2. Yuehui Chen, Ajith Abraham
      Pages 129-147
  6. Reverse Engineering of Dynamical Systems

    1. Front Matter
      Pages 149-149
    2. Yuehui Chen, Ajith Abraham
      Pages 151-182
  7. Conclusions and Future Research

    1. Front Matter
      Pages 183-183
    2. Yuehui Chen, Ajith Abraham
      Pages 185-190
  8. Back Matter

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.


cognition computational intelligence data mining dynamical systems emotion fuzzy system learning neural network problem solving proving

Authors and affiliations

  • Yuehui Chen
    • 1
  • Ajith Abraham
    • 2
  1. 1.School of Information Science and EngineeringUniversity of Jinan JinanP.R. China
  2. 2.Machine Intelligence Research Labs (MIR Labs)Scientific Network for Innovation and Research Excellence AuburnUSA

Bibliographic information

  • DOI
  • Copyright Information Springer-Verlag Berlin Heidelberg 2010
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Engineering Engineering (R0)
  • Print ISBN 978-3-642-04738-1
  • Online ISBN 978-3-642-04739-8
  • Series Print ISSN 1868-4394
  • Series Online ISSN 1868-4408
  • Buy this book on publisher's site