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Download Hybrid Intelligent Systems for Pattern Recognition Using Soft Computing: An Evolutionary Approach for Neural Networks and Fuzzy Systems (Studies in Fuzziness and Soft Computing) fb2, epub

by Oscar Castillo,Patricia Melin

Download Hybrid Intelligent Systems for Pattern Recognition Using Soft Computing: An Evolutionary Approach for Neural Networks and Fuzzy Systems (Studies in Fuzziness and Soft Computing) fb2, epub

ISBN: 3540241213
Author: Oscar Castillo,Patricia Melin
Language: English
Publisher: Springer; 2005 edition (April 29, 2005)
Pages: 272
Category: Computer Science
Subcategory: IT
Rating: 4.7
Votes: 909
Size Fb2: 1803 kb
Size ePub: 1191 kb
Size Djvu: 1456 kb
Other formats: doc lrf lit txt


Hybrid intelligent systems that combine several soft computing techniques are needed due to the . Studies in Fuzziness and Soft Computing. Introduction to Pattern Recognition with Intelligent Systems. Pages 1-5. Melin, Professor Patricia (et a.

Hybrid intelligent systems that combine several soft computing techniques are needed due to the complexity of pattern recognition. Hybrid Intelligent Systems for Pattern Recognition Using Soft Computing. An Evolutionary Approach for Neural Networks and Fuzzy Systems. Authors: Melin, Patricia, Castillo, Oscar. eBook 118,99 €. price for Russian Federation (gross). ISBN 978-3-540-32378-5.

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.

Studies in Fuzziness and Soft Computing.

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Soft Computing for Information Prodessing and Analysis, 2005 ISBN .

Soft Computing for Information Prodessing and Analysis, 2005 ISBN 3-540-22930-2. Vol. 172. Patricia Melin, Oscar Castillo Hybrid Intelligent Systems for Pattern Recognition Using Soft Computing, 2005 ISBN 3-540-24121-3. Patricia Melin Oscar Castillo. 9 a new approach for face recognition using modular neural networks with a fuzzy logic method for response integration. We describe a new architecture for modular neural networks for achieving pattern recognition in the particular case of human faces. Also, the method for achieving response integration is based on the fuzzy Sugeno integral.

Start by marking Hybrid Intelligent Systems for Pattern Recognition .

Start by marking Hybrid Intelligent Systems for Pattern Recognition Using Soft Computing: An Evolutionary Approach for Neural Networks and Fuzzy Systems as Want to Read: Want to Read savin. ant to Read. Hybrid Intelligent Systems for Pattern Recognition Using Soft Computing: An Evolutionary Approach for Neural Networks and Fuzzy Systems (Studies in Fuzziness and Soft Computing).

Soft Computing (SC) consists of several intelligent computing paradigms, including fuzzy logic, neural networks, and evolutionary algorithms, which can be used to produce powerful hybrid intelligent systems. There are theoretical aspects as well as application papers. New methods and applications of hybrid intelligent systems using soft computing techniques are described. The book is organized in five main parts, which contain a group of papers around a similar subject.

Bart Kosko, Neural networks and fuzzy systems: a dynamical systems .

Bart Kosko, Neural networks and fuzzy systems: a dynamical systems approach to machine intelligence, Prentice-Hall, In. Upper Saddle River, NJ, 1991. 10. Langavi, R. and Berenji, . Fuzzy logic Fuzzylogic controller. In Proceedings of the second international conference on Fuzy Systems (FUZZ-IEEE '93) (MAR. 28-April. Sankar K. Pal, Soft Computing Pattern Recognition: Principles, Integrations, and Data Mining, Proceedings of the Joint JSAI 2001 Workshop on New Frontiers in Artificial Intelligence, . 61-271, January 2001.

Описание: Fuzzy systems, neural networks and evolutionary computation, considered as related to AI, combine flexibility and robustness, and are now widely used to build intelligent systems. This book covers soft computing implementations of intelligent systems models.

Castillo, P. Melin, Hybrid intelligent systems for time series prediction using neural networks, fuzzy logic and fractal theory, IEEE Transactions on Neural Networks, vol. 13, no. 6, 2002. P. Melin, O. Castillo, Hybrid Intelligent Systems for Pattern Recognition using Soft Computing: An Evolutionary Approach for Neural Networks and Fuzzy Systems, Springer, 2005. Язык: b/d. Подтвердить.

Электронная книга "Bio-Inspired Hybrid Intelligent Systems for Image Analysis and Pattern Recognition", Patricia Melin, Witold Pedrycz. Эту книгу можно прочитать в Google Play Книгах на компьютере, а также на устройствах Android и iOS. Выделяйте текст, добавляйте закладки и делайте заметки, скачав книгу "Bio-Inspired Hybrid Intelligent Systems for Image Analysis and Pattern Recognition" для чтения в офлайн-режиме.

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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