Bio-Inspired Hybrid Intelligent Systems for Image Analysis and Pattern Recognition (Studies in Computational Intelligence)
Patricia Melin, Janusz Kacprzyk, Witold Pedrycz "Bio-Inspired Hybrid Intelligent Systems for Image Analysis and Pattern Recognition (Studies in Computational Intelligence)"
Springer | English | 2009-09-29 | ISBN: 3642045154 | 264 pages | PDF | 7,4 MB
Springer | English | 2009-09-29 | ISBN: 3642045154 | 264 pages | PDF | 7,4 MB
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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