Neuro-Fuzzy Pattern Recognition: Methods in Soft Computing

Neuro-Fuzzy Pattern Recognition: Methods in Soft Computing

by Sankar K. Pal, Sushmita Mitra
     
 

The authors consolidate a wealth of information previously scattered 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… See more details below

Overview

The authors consolidate a wealth of information previously scattered 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.

Editorial Reviews

From the Publisher
"Pal and Mitra have consolidated their previously published work to explain both the theory and latest methodologies of the field." (SciTech Book News, March 2001)

"...recommended as an important extension of the literature of researchers and practitioners in pattern recognition." (IEEE, 2000)

SciTech Book News
Pal and Mitra have consolidated their previously published work to explain both the theory and latest methodologies of the field.
IEEE
...recommended as an important extension of the literature of researchers and practitioners in pattern recognition.
Booknews
Pal and Mitra (both of the Indian Statistical Institute, Calcutta<--> Pal is the founder of the Machine Intelligence Unit there) have consolidated their previously published work to explain both the theory and latest methodologies of the field. Using an application- oriented approach, particularly in speech, machine learning, medicine and forensic science, they discuss how neuro-fuzzy computing is used to perform different pattern recognition tasks, including classification, feature evaluation, rule generation, knowledge extraction, and hybridization. Scientists and engineers, as well as graduate students with knowledge of statistics and probability theory are the intended audience. Annotation c. Book News, Inc., Portland, OR (booknews.com)

Product Details

ISBN-13:
9780471348443
Publisher:
Wiley
Publication date:
09/10/1999
Series:
Wiley Series on Intelligent Systems Series, #4
Pages:
408
Product dimensions:
6.44(w) x 9.59(h) x 1.03(d)

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