Overview
- Recent results in Bio-inspired hybrid intelligent systems for Image Analysis and Pattern Recognition
Part of the book series: Studies in Computational Intelligence (SCI, volume 256)
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Table of contents (15 chapters)
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Introductory Concepts and Models
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Modular Neural Networks in Pattern Recognition
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Neural Network Models and Time Series Prediction
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Optimization and Robotics
Keywords
About this book
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.
Editors and Affiliations
Bibliographic Information
Book Title: Bio-Inspired Hybrid Intelligent Systems for Image Analysis and Pattern Recognition
Editors: Patricia Melin, Janusz Kacprzyk, Witold Pedrycz
Series Title: Studies in Computational Intelligence
DOI: https://doi.org/10.1007/978-3-642-04516-5
Publisher: Springer Berlin, Heidelberg
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer-Verlag Berlin Heidelberg 2009
Hardcover ISBN: 978-3-642-04515-8Published: 30 September 2009
Softcover ISBN: 978-3-642-26065-0Published: 14 March 2012
eBook ISBN: 978-3-642-04516-5Published: 19 November 2009
Series ISSN: 1860-949X
Series E-ISSN: 1860-9503
Edition Number: 1
Number of Pages: VIII, 263
Topics: Image Processing and Computer Vision, Mathematical and Computational Engineering, Artificial Intelligence, Signal, Image and Speech Processing, Computer Imaging, Vision, Pattern Recognition and Graphics