Hybrid Intelligent Systems for Pattern Recognition Using Soft Computing : An Evolutionary Approach for Neural Networks and Fuzzy Systems Hardback
by Patricia Melin, Oscar Castillo
Part of the Studies in Fuzziness and Soft Computing series
Hardback
Description
This monograph describes new methods for intelligent pattern recognition using soft computing techniques including neural networks, fuzzy logic, and genetic algorithms.
Hybrid intelligent systems that combine several soft computing techniques are needed due to the complexity of pattern recognition problems.
Hybrid intelligent systems can have different architectures, which have an impact on the efficiency and accuracy of pattern recognition systems, to achieve the ultimate goal of pattern recognition.
This book also shows results of the application of hybrid intelligent systems to real-world problems of face, fingerprint, and voice recognition.
This monograph is intended to be a major reference for scientists and engineers applying new computational and mathematical tools to intelligent pattern recognition and can be also used as a textbook for graduate courses in soft computing, intelligent pattern recognition, computer vision, or applied artificial intelligence.
Information
-
Item not Available
- Format:Hardback
- Pages:272 pages, XIV, 272 p.
- Publisher:Springer-Verlag Berlin and Heidelberg GmbH & Co. K
- Publication Date:08/03/2005
- Category:
- ISBN:9783540241218
Other Formats
- Paperback / softback from £116.79
Information
-
Item not Available
- Format:Hardback
- Pages:272 pages, XIV, 272 p.
- Publisher:Springer-Verlag Berlin and Heidelberg GmbH & Co. K
- Publication Date:08/03/2005
- Category:
- ISBN:9783540241218
