Bio-inspired hybrid intelligent systems for image analysis and pattern recognition / Patricia Melin, Janusz Kacprzyk, and Witold Pedrycz (eds.).
"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 an...
Saved in:
| Main Authors: | , , |
|---|---|
| Format: | Ebook |
| Language: | English |
| Published: |
Berlin :
Springer,
[2009]
|
| Series: | Studies in computational intelligence ;
v. 256. |
| Subjects: | |
| Online Access: | Springer eBooks |
| 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."--Publisher's website. |
|---|---|
| Physical Description: | 1 online resource (viii, 262 pages) : illustrations. |
| Bibliography: | Includes bibliographical references and index. |
| ISBN: | 3642045154 9783642045158 1282633457 9781282633452 3642045162 9783642045165 |
| ISSN: | 1860-949X ; |