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.
| ISBN: | 9783642260650 |
| Publication date: | 14th March 2012 |
| Author: | Patricia Melin, Witold Pedrycz |
| Publisher: | Springer an imprint of Springer Berlin Heidelberg |
| Format: | Paperback |
| Pagination: | 263 pages |
| Series: | Studies in Computational Intelligence |
| Genres: |
Computer vision Digital signal processing (DSP) Image processing Maths for engineers Electronics engineering Artificial intelligence |