Bio-inspired Hybrid Intelligent Systems for Image Analysis and Pattern Recognition

• Corporate Author: SpringerLink (Online service)
• Other Authors: Melin, Patricia. (Editor), Kacprzyk, Janusz. (Editor), Pedrycz, Witold. (Editor)
• Format: Electronic
• Language: English
• Published: Berlin, Heidelberg : Springer Berlin Heidelberg, 2009.
• Series: Studies in Computational Intelligence, 256
• Subjects: Engineering.; Artificial intelligence.; Computer vision.; Engineering mathematics.; Appl.Mathematics/Computational Methods of Engineering.; Artificial Intelligence (incl. Robotics).; Signal, Image and Speech Processing.; Computer Imaging, Vision, Pattern Recognition and Graphics.
• Online Access: https://ezaccess.library.uitm.edu.my/login?url=http://dx.doi.org/10.1007/978-3-642-04516-5
• Physical Description: online resource.
• ISBN: 9783642045165
• ISSN: 1860-949X

"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 in 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 where both theoretical and application aspects are covered.