Neuro-Fuzzy Pattern Recognition : Methods in Soft Computing

Mitra, Sushmita, Pal, Sankar K.

ISBN 10: 0471348449 / ISBN 13: 9780471348443

Edité par Wiley & Sons, Incorporated, John, 1999

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Ships from the UK. Former library book; may include library markings. Used book that is in excellent condition. May show signs of wear or have minor defects. N° de réf. du vendeur GRP91036805

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Titre : Neuro-Fuzzy Pattern Recognition : Methods in...

Éditeur : Wiley & Sons, Incorporated, John

Date d'édition : 1999

Reliure : Couverture rigide

Etat : Very Good

A propos de ce titre

Synopsis :

Pattern recognition is of great importance in many aspects of computer technologies, especially human-computer interactions. Voice recognition software, intelligent agents, and machine vision systems are all examples of technologies utilising pattern recognition. Written by an internationally known neural network expert, this book applies fuzzy logic and neural networks to the task of pattern recognition. It presents contemporary state-of-the-art technology in pattern recognition.

Présentation de l'éditeur:

The neuro–fuzzy approach to pattern recognition–a unique overview Recent years have seen a surge of interest in neuro–fuzzy computing, which combines fuzzy logic, neural networks, and soft computing techniques. This book focuses on the application of this new tool to the rapidly evolving area of pattern recognition. Written by two leaders in neural networks and soft computing research, this landmark work presents a unified, comprehensive treatment of the state of the art in the field. The authors consolidate a wealth of information previously cattered in disparate articles, journals, and edited volumes, explaining both the theory of neuro–fuzzy computing and the latest methodologies for performing different pattern recognition tasks in the neuro–fuzzy network–classification, feature evaluation, rule generation, knowledge extraction, and hybridization. Special emphasis is given to the integration of neuro–fuzzy methods with rough sets and genetic algorithms (GAs) to ensure more efficient recognition systems. Clear, concise, and fully referenced, Neuro–Fuzzy Pattern Recognition features extensive examples and highlights key applications in speech, machine learning, medicine, and forensic science. It is an extremely useful resource for scientists and engineers in laboratories and industry as well as for anyone seeking up–to–date information on the advantages of neuro–fuzzy pattern recognition in new computer technologies.