Hybrid intelligent systems for pattern recognition using soft computing : an evolutionary approach for neural networks and fuzzy systems /

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Bibliographic Details
Author / Creator:Melin, Patricia, 1962-
Imprint:Berlin ; New York : Springer, ©2005.
Description:1 online resource (xiv, 272 pages) : illustrations.
Language:English
Series:Studies in fuzziness and soft computing, 1434-9922 ; v. 172
Studies in fuzziness and soft computing ; v. 172.
Subject:
Format: E-Resource Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/11066826
Hidden Bibliographic Details
Other authors / contributors:Castillo, Oscar, 1959-
ISBN:9783540323785
3540323783
3540241213
9783540241218
Notes:Includes bibliographical references (pages 257-268) and index.
Print version record.
Summary:"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."--Jacket.
Other form:Print version: Melin, Patricia, 1962- Hybrid intelligent systems for pattern recognition using soft computing. Berlin ; New York : Springer, ©2005 3540241213 9783540241218
Table of Contents:
  • Introduction to Pattern Recognition with Intelligent Systems
  • Type-1 Fuzzy Logic
  • Type-2 Fuzzy Logic and Intuitionistic Fuzzy Logic
  • Supervised Neural Networks
  • Unsupervised Neural Networks
  • Modular Neural Networks
  • Evolutionary Computing for Architecture Optimization
  • Clustering with Intelligent Techniques
  • Face Recognition with Modular Neural Networks and Fuzzy Measures
  • Fingerprint Recognition with Modular Neural Networks and Fuzzy Measures
  • Voice Recognition with Neural Networks and Genetic Algorithms
  • Human Recognition Using Face, Fingerprint and Voice.