Authors:
- 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
Part of the book series: Intelligent Systems Reference Library (ISRL, volume 2)
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Table of contents (6 chapters)
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Front Matter
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Foundations of Computational Intelligence
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Front Matter
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Flexible Neural Trees
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Front Matter
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Hierarchical Neural Networks
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Front Matter
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Hierarchical Fuzzy Systems
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Front Matter
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Reverse Engineering of Dynamical Systems
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Front Matter
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Conclusions and Future Research
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Front Matter
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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.
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)Authors and Affiliations
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School of Information Science and Engineering, University of Jinan , Jinan, P.R. China
Yuehui Chen
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Machine Intelligence Research Labs (MIR Labs), Scientific Network for Innovation and Research Excellence , Auburn, USA
Ajith Abraham
Bibliographic Information
Book Title: Tree-Structure based Hybrid Computational Intelligence
Book Subtitle: Theoretical Foundations and Applications
Authors: Yuehui Chen, Ajith Abraham
Series Title: Intelligent Systems Reference Library
DOI: https://doi.org/10.1007/978-3-642-04739-8
Publisher: Springer Berlin, Heidelberg
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer-Verlag Berlin Heidelberg 2010
Hardcover ISBN: 978-3-642-04738-1Published: 03 November 2009
Softcover ISBN: 978-3-642-26120-6Published: 14 March 2012
eBook ISBN: 978-3-642-04739-8Published: 27 November 2009
Series ISSN: 1868-4394
Series E-ISSN: 1868-4408
Edition Number: 1
Number of Pages: XIV, 206