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Hybrid Self-Organizing Modeling Systems (Paperback, Softcover reprint of hardcover 1st ed. 2009) Loot Price: R4,488
Discovery Miles 44 880
Hybrid Self-Organizing Modeling Systems (Paperback, Softcover reprint of hardcover 1st ed. 2009): Godfrey C. Onwubolu

Hybrid Self-Organizing Modeling Systems (Paperback, Softcover reprint of hardcover 1st ed. 2009)

Godfrey C. Onwubolu

Series: Studies in Computational Intelligence, 211

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Loot Price R4,488 Discovery Miles 44 880 | Repayment Terms: R421 pm x 12*

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Models form the basis of any decision. They are used in di?erent context and for di?erent purposes: for identi?cation, prediction, classi?cation, or control of complex systems. Modeling is done theory-driven by logical-mathematical methods or data-driven based on observational data of the system and some algorithm or software for analyzing this data. Today, this approach is s- marized as Data Mining. There are many Data Mining algorithms known like Arti?cial Neural N- works, Bayesian Networks, Decision Trees, Support Vector Machines. This book focuses on another method: the Group Method of Data Handling. - thoughthismethodologyhasnotyetbeenwellrecognizedintheinternational science community asa verypowerfulmathematicalmodeling andknowledge extraction technology, it has a long history. Developed in 1968bythe Ukrainianscientist A.G. Ivakhnenko it combines the black-box approach and the connectionism of Arti?cial Neural Networks with well-proven Statistical Learning methods and with more behavior- justi?ed elements of inductive self-organization.Over the past 40 years it has been improving and evolving, ?rst by works in the ?eld of what was known in the U.S.A. as Adaptive Learning Networks in the 1970s and 1980s and later by signi? cantcontributions from scientists from Japan,China, Ukraine, Germany. Many papers and books have been published on this modeling technology, the vast majority of them in Ukrainian and Russian language.

General

Imprint: Springer-Verlag
Country of origin: Germany
Series: Studies in Computational Intelligence, 211
Release date: October 2010
First published: 2009
Editors: Godfrey C. Onwubolu
Dimensions: 235 x 155 x 16mm (L x W x T)
Format: Paperback
Pages: 282
Edition: Softcover reprint of hardcover 1st ed. 2009
ISBN-13: 978-3-642-10182-3
Categories: Books > Science & Mathematics > Mathematics > Applied mathematics > Mathematics for scientists & engineers
Books > Science & Mathematics > Physics > Thermodynamics & statistical physics > Statistical physics
Books > Computing & IT > Applications of computing > Artificial intelligence > General
LSN: 3-642-10182-8
Barcode: 9783642101823

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