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.
| ISBN: | 9783642063251 |
| Publication date: | 30th November 2010 |
| Author: | Patricia Melin, Oscar Castillo |
| Publisher: | Springer an imprint of Springer Berlin Heidelberg |
| Format: | Paperback |
| Pagination: | 272 pages |
| Series: | Studies in Fuzziness and Soft Computing |
| Genres: |
Mathematical theory of computation Pattern recognition Automatic control engineering Digital signal processing (DSP) Artificial intelligence Maths for engineers Electronics engineering |
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.
Hybrid Intelligent Systems for Pattern Recognition Using Soft Computing features in the following genres: Mathematical theory of computation, Pattern recognition, Automatic control engineering, Digital signal processing (DSP), Artificial intelligence, Maths for engineers, Electronics engineering
Hybrid Intelligent Systems for Pattern Recognition Using Soft Computing is available in Paperback, Hardback
Hybrid Intelligent Systems for Pattern Recognition Using Soft Computing was written by Patricia Melin, Oscar Castillo and published by Springer an imprint of Springer Berlin Heidelberg
Hybrid Intelligent Systems for Pattern Recognition Using Soft Computing has 272 pages
Yes it is part of Studies in Fuzziness and Soft Computing series