Studies in Computational Intelligence

The Fundamentals of Computational Intelligence: System Approach

Authors: Zgurovsky, Michael, Zaychenko, Yuriy P.

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  • Systematic presentation of main trends, approaches and technologies of Computational Intelligence
  • Presents novel important CI technology, fuzzy logic (FL) systems and fuzzy neural networks (FNN)
  • Includes  practical examples  of Computational Intelligence Technologies for the solution of real problems  in economy  and financial sphere
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eBook $149.00
price for USA in USD (gross)
  • ISBN 978-3-319-35162-9
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $199.99
price for USA in USD
  • ISBN 978-3-319-35160-5
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $199.99
price for USA in USD
  • ISBN 978-3-319-81739-2
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
About this book

This monograph is dedicated to the systematic presentation of main trends, technologies and methods of computational intelligence (CI). The book pays big attention to novel important CI technology- fuzzy logic (FL) systems and fuzzy neural networks (FNN).  Different FNN including new class of FNN- cascade neo-fuzzy neural networks are considered and their training algorithms are described and analyzedThe applications of FNN to the forecast in macroeconomics and at stock markets are examined. The book presents the problem of portfolio optimization under uncertainty, the novel theory of fuzzy portfolio optimization free of drawbacks of classical model of Markovitz as well as an application for portfolios optimization at   Ukrainian, Russian and American stock exchanges. The book also presents the problem of corporations bankruptcy risk forecasting under incomplete and fuzzy information, as well as new methods based on fuzzy sets theory and fuzzy neural networks and results of their application for bankruptcy risk forecasting are presented and compared with Altman method.

This monograph also focuses on an inductive modeling method of self-organization – the so-called Group Method of Data Handling (GMDH) which enables to construct the structure of forecasting models almost automatically. The results of experimental investigations of GMDH for forecasting at stock exchanges are presented. The final chapters are devoted to theory and applications of evolutionary modeling (EM) and genetic algorithms.

The distinguishing feature of this monograph is a great number of practical examples  of CI technologies and methods application for  solution of real problems  in technology, economy  and financial sphere, in particular forecasting, classification, pattern recognition, portfolio optimization, bankruptcy risk prediction  under uncertainty which were developed by authors and published in this book for the first time. All CI methods and algorithms are presented from the general system approach and analysis of their properties, advantages and drawbacks that enables practitioners to choose the most adequate method for their own problems solution.

 

Reviews

“The book describes the mathematical equations, inequalities, and functions that can be used to calculate some results and achieve some data analysis objectives. … The book is interesting for researchers working on economic, financial, and societal phenomena, but it requires a deep understanding the underlying mathematical techniques. The book may be useful for researchers of computational intelligence because it contains a comprehensive set of algorithms and their mathematical descriptions.” (Bálint Molnár, Computing Reviews, April, 2017)


Table of contents (9 chapters)

Table of contents (9 chapters)
  • Neural Networks

    Zgurovsky, Mikhail Z. (et al.)

    Pages 1-37

  • Neural Networks with Feedback and Self-organization

    Zgurovsky, Mikhail Z. (et al.)

    Pages 39-79

  • Fuzzy Inference Systems and Fuzzy Neural Networks

    Zgurovsky, Mikhail Z. (et al.)

    Pages 81-131

  • Application of Fuzzy Logic Systems and Fuzzy Neural Networks in Forecasting Problems in Macroeconomy and Finance

    Zgurovsky, Mikhail Z. (et al.)

    Pages 133-178

  • Fuzzy Neural Networks in Classification Problems

    Zgurovsky, Mikhail Z. (et al.)

    Pages 179-219

Buy this book

eBook $149.00
price for USA in USD (gross)
  • ISBN 978-3-319-35162-9
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $199.99
price for USA in USD
  • ISBN 978-3-319-35160-5
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $199.99
price for USA in USD
  • ISBN 978-3-319-81739-2
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
The Fundamentals of Computational Intelligence: System Approach
Authors
Series Title
Studies in Computational Intelligence
Series Volume
652
Copyright
2017
Publisher
Springer International Publishing
Copyright Holder
Springer International Publishing Switzerland
eBook ISBN
978-3-319-35162-9
DOI
10.1007/978-3-319-35162-9
Hardcover ISBN
978-3-319-35160-5
Softcover ISBN
978-3-319-81739-2
Series ISSN
1860-949X
Edition Number
1
Number of Pages
XX, 375
Number of Illustrations
73 b/w illustrations, 70 illustrations in colour
Topics