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Books > Computing & IT > Applications of computing > Image processing

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Bio-Inspired Hybrid Intelligent Systems for Image Analysis and Pattern Recognition (Paperback, 2010 ed.) Loot Price: R2,789
Discovery Miles 27 890
Bio-Inspired Hybrid Intelligent Systems for Image Analysis and Pattern Recognition (Paperback, 2010 ed.): Patricia Melin,...

Bio-Inspired Hybrid Intelligent Systems for Image Analysis and Pattern Recognition (Paperback, 2010 ed.)

Patricia Melin, Witold Pedrycz

Series: Studies in Computational Intelligence, 256

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Loot Price R2,789 Discovery Miles 27 890 | Repayment Terms: R261 pm x 12*

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Bio-Inspired Hybrid Intelligent Systems for Image Analysis and Pattern Recognition comprises papers on diverse aspects of bio-inspired models, soft computing and hybrid intelligent systems.

The articles are divided into four main parts. The first one consists of papers that propose new fuzzy and bio-inspired models to solve general problems. The second part deals with the main theme of modular neural networks in pattern recognition, which are basically papers using bio-inspired techniques. The third part contains papers that apply hybrid intelligent systems to the problem of time series analysis and prediction, while the fourth one shows papers dealing with bio-inspired models in optimization and robotics applications. An edited book in which both theoretical and application aspects are covered.

General

Imprint: Springer-Verlag
Country of origin: Germany
Series: Studies in Computational Intelligence, 256
Release date: March 2012
First published: March 2012
Editors: Patricia Melin • Witold Pedrycz
Dimensions: 235 x 155 x 14mm (L x W x T)
Format: Paperback
Pages: 263
Edition: 2010 ed.
ISBN-13: 978-3-642-26065-0
Categories: Books > Science & Mathematics > Mathematics > Applied mathematics > Mathematics for scientists & engineers
Books > Computing & IT > Applications of computing > Artificial intelligence > Computer vision
Books > Computing & IT > Applications of computing > Image processing > General
Books > Professional & Technical > Electronics & communications engineering > Electronics engineering > Applied optics > General
LSN: 3-642-26065-9
Barcode: 9783642260650

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