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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.
This is a digital product.
Additional ISBNs
9783642260650
Bio-Inspired Hybrid Intelligent Systems for Image Analysis and Pattern Recognition 1st Edition is written by Patricia Melin; Janusz Kacprzyk; Witold Pedrycz and published by Springer. The Digital and eTextbook ISBNs for Bio-Inspired Hybrid Intelligent Systems for Image Analysis and Pattern Recognition are 9783642045165, 3642045162 and the print ISBNs are 9783642045158, 3642045154. Additional ISBNs for this eTextbook include 9783642260650.

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