| Title:
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BIO-INSPIRED HYBRID INTELLIGENT SYSTEMS FOR IMAGE ANALYSIS AND PATTERN RECOGNITION
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| By: |
Patricia Melin (Editor), Janusz Kacprzyk (Editor), Witold Pedrycz (Editor) |
| Format: |
Hardback |
| List price:
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£129.99 |
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| ISBN 10: |
3642045154 |
| ISBN 13: |
9783642045158 |
| Publisher: |
SPRINGER-VERLAG BERLIN AND HEIDELBERG GMBH & CO. KG |
| Pub. date: |
29 September, 2009 |
| Edition: |
2010 ed. |
| Series: |
Studies in Computational Intelligence 256 |
| Pages: |
263 |
| Description: |
Comprising papers on diverse aspects of bio-inspired models, soft computing and hybrid intelligent systems, the articles in this book are divided into four main parts that cover important research areas such as fuzzy and bio-inspired problem-solving models. |
| Synopsis: |
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. |
| Illustrations: |
61 Tables, black and white; VIII, 263 p. |
| Publication: |
Germany |
| Imprint: |
Springer-Verlag Berlin and Heidelberg GmbH & Co. K |
| Returns: |
Returnable |