Hybrid Intelligent Systems for Pattern Recognition Using Soft Computing

Name: Hybrid Intelligent Systems for Pattern Recognition Using Soft Computing
Brand: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
SKU: 9783540241218
Price: 2567 CZK
Availability: InStock

An Evolutionary Approach for Neural Networks and Fuzzy Systems

Autor: Patricia Melin, Oscar Castillo

Jazyk:

Vazba: Pevná

Vydavatel: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG

Dostupnost: Skladem u dodavatele v malém množství

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2 567 Kč

This monograph describes new methods for intelligent pattern recognition using soft computing techni...

Informace o knize

Autor

Patricia Melin, Oscar Castillo

Jazyk

Angličtina

Vazba

Kniha - Pevná

Vydáno

2005

Stránek

272

EAN

9783540241218

ISBN

3540241213

Enbook ID

01560178

Vydavatel

Springer-Verlag Berlin and Heidelberg GmbH & Co. KG

Hmotnost

550

Rozměry

165 x 241 x 25

Kompletní popis

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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Hybrid Intelligent Systems for Pattern Recognition Using Soft Computing

An Evolutionary Approach for Neural Networks and Fuzzy Systems

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