Bio-inspired hybrid intelligent systems for image analysis and pattern recognition /
| Imprint: | Berlin : Springer, ©2009. |
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| Description: | 1 online resource (viii, 262 pages) : illustrations. |
| Language: | English |
| Series: | Studies in computational intelligence, 1860-949X ; v. 256 Studies in computational intelligence ; v. 256. |
| Subject: | |
| Format: | E-Resource Book |
| URL for this record: | http://pi.lib.uchicago.edu/1001/cat/bib/11073563 |
| Summary: | 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. |
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| Physical Description: | 1 online resource (viii, 262 pages) : illustrations. |
| Bibliography: | Includes bibliographical references and index. |
| ISBN: | 9783642045165 3642045162 9783642045158 3642045154 |
| ISSN: | 1860-949X ; |