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|a 9783540323785
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| 100 |
1 |
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|a Melin, Patricia
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| 245 |
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|a Hybrid Intelligent Systems for Pattern Recognition Using Soft Computing
|h Elektronische Ressource
|b An Evolutionary Approach for Neural Networks and Fuzzy Systems
|c by Patricia Melin, Oscar Castillo
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| 250 |
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|a 1st ed. 2005
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| 260 |
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|a Berlin, Heidelberg
|b Springer Berlin Heidelberg
|c 2005, 2005
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| 300 |
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|a XIV, 272 p
|b online resource
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| 505 |
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|a Introduction to Pattern Recognition with Intelligent Systems -- Type-1 Fuzzy Logic -- Type-2 Fuzzy Logic and Intuitionistic Fuzzy Logic -- Supervised Neural Networks -- Unsupervised Neural Networks -- Modular Neural Networks -- Evolutionary Computing for Architecture Optimization -- Clustering with Intelligent Techniques -- Face Recognition with Modular Neural Networks and Fuzzy Measures -- Fingerprint Recognition with Modular Neural Networks and Fuzzy Measures -- Voice Recognition with Neural Networks and Genetic Algorithms -- Human Recognition Using Face, Fingerprint and Voice
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| 653 |
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|a Computer science
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| 653 |
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|a Control, Robotics, Automation
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| 653 |
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|a Engineering mathematics
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| 653 |
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|a Artificial Intelligence
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| 653 |
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|a Signal, Speech and Image Processing
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| 653 |
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|a Control engineering
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| 653 |
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|a Artificial intelligence
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| 653 |
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|a Robotics
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| 653 |
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|a Engineering / Data processing
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| 653 |
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|a Theory of Computation
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| 653 |
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|a Signal processing
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| 653 |
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|a Automated Pattern Recognition
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| 653 |
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|a Automation
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| 653 |
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|a Mathematical and Computational Engineering Applications
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| 653 |
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|a Pattern recognition systems
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| 700 |
1 |
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|a Castillo, Oscar
|e [author]
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| 041 |
0 |
7 |
|a eng
|2 ISO 639-2
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| 989 |
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|b Springer
|a Springer eBooks 2005-
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| 490 |
0 |
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|a Studies in Fuzziness and Soft Computing
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| 028 |
5 |
0 |
|a 10.1007/b97585
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| 856 |
4 |
0 |
|u https://doi.org/10.1007/b97585?nosfx=y
|x Verlag
|3 Volltext
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| 082 |
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|a 004.0151
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| 520 |
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|a 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
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