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Computational Intelligence in Intelligent Data Analysis (Hardcover, 2013 ed.) Loot Price: R5,464
Discovery Miles 54 640
Computational Intelligence in Intelligent Data Analysis (Hardcover, 2013 ed.): Christian Moewes, Andreas Nurnberger

Computational Intelligence in Intelligent Data Analysis (Hardcover, 2013 ed.)

Christian Moewes, Andreas Nurnberger

Series: Studies in Computational Intelligence, 445

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Loot Price R5,464 Discovery Miles 54 640 | Repayment Terms: R512 pm x 12*

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Complex systems and their phenomena are ubiquitous as they can be found in biology, finance, the humanities, management sciences, medicine, physics and similar fields. For many problems in these fields, there are no conventional ways to mathematically or analytically solve them completely at low cost. On the other hand, nature already solved many optimization problems efficiently. Computational intelligence attempts to mimic nature-inspired problem-solving strategies and methods. These strategies can be used to study, model and analyze complex systems such that it becomes feasible to handle them. Key areas of computational intelligence are artificial neural networks, evolutionary computation and fuzzy systems. As only a few researchers in that field, Rudolf Kruse has contributed in many important ways to the understanding, modeling and application of computational intelligence methods. On occasion of his 60th birthday, a collection of original papers of leading researchers in the field of computational intelligence has been collected in this volume.

General

Imprint: Springer-Verlag
Country of origin: Germany
Series: Studies in Computational Intelligence, 445
Release date: August 2012
First published: 2013
Editors: Christian Moewes • Andreas Nurnberger
Dimensions: 235 x 155 x 19mm (L x W x T)
Format: Hardcover
Pages: 306
Edition: 2013 ed.
ISBN-13: 978-3-642-32377-5
Categories: Books > Computing & IT > Applications of computing > Databases > General
Books > Computing & IT > Applications of computing > Artificial intelligence > General
LSN: 3-642-32377-4
Barcode: 9783642323775

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