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Science/Engineering Hybrid Self-Organizing Modeling Systems

Posted on 2010-03-16




Name:Science/Engineering Hybrid Self-Organizing Modeling Systems
ASIN/ISBN:3642015298
Language:English
File size:7 Mb
Publisher: Springer
Pages: 284
Publish Date: 2009-07-01
ISBN: 3642015298
File Type: PDF
File Size: 7 MB
   Science/Engineering Hybrid Self-Organizing Modeling Systems

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Hybrid Self-Organizing Modeling Systems

The Group Method of Data Handling (GMDH) is a typical inductive modeling method that is built on principles of self-organization for modeling complex systems. However, it is known to often under-perform on non-parametric regression tasks, while time series modeling GMDH exhibits a tendency to find very complex polynomials that cannot model well future, unseen oscillations of the series. In order to alleviate these problems, GMDH has been recently hybridized with some computational intelligence (CI) techniques resulting in more robust and flexible hybrid intelligent systems for solving complex, real-world problems. The central theme of this book is to present in a very clear manner hybrids of some computational intelligence techniques and GMDH approach.

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