๐”– Bobbio Scriptorium
โœฆ   LIBER   โœฆ

Hybrid Intelligent Systems for Pattern Recognition Using Soft Computing: An Evolutionary Approach for Neural Networks and Fuzzy Systems

โœ Scribed by Patricia Melin, Oscar Castillo


Book ID
127450576
Publisher
Springer
Year
2005
Tongue
English
Weight
9 MB
Series
Studies in Fuzziness and Soft Computing
Edition
1
Category
Library
ISBN-13
9783540241218

No coin nor oath required. For personal study only.

โœฆ Synopsis


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.


๐Ÿ“œ SIMILAR VOLUMES


[Studies in Fuzziness and Soft Computing
โœ Seising, Rudolf; Trillas, Enric; Moraga, Claudio; Termini, Settimo ๐Ÿ“‚ Article ๐Ÿ“… 2013 ๐Ÿ› Springer Berlin Heidelberg ๐ŸŒ English โš– 355 KB

The notion of Fuzziness stands as one of the really new concepts that have recently enriched the world of Science.ย  Science grows not only through technical and formal advances on one side and useful applications on the other side, but also as consequence of the introduction and assimilation of new