| Document Type
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BL
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| Record Number
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888945
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| Title & Author
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Neuro-fuzzy pattern recognition /\ editors H. Bunke, A. Kandel.
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| Publication Statement
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Singapore ;River Edge, N.J. :: World Scientific,, 2000.
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| Series Statement
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Series in machine perception and artificial intelligence ;; vol. 41
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| Page. NO
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1 online resource (x, 264 pages) :: illustrations.
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| ISBN
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9789812792204
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: 9812792201
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9789810244187
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9810244185
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| Bibliographies/Indexes
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Includes bibliographical references.
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| Contents
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Methodology. Simultaneous feature analysis and system identification in a neuro-fuzzy framework / N. R. Pal and D. Chakraborty -- Neuro-fuzzy model for unsupervised feature extraction with real life applications / R. K. De ... [et al.] -- A computational-intelligence-based approach to decision support / M. B. Gorzalczany -- Clustering problem using fuzzy c-means algorithms and unsupervised neural networks / J.-S. Lin -- Automatic training of min-max classifiers / A. Rizzi -- Granular computing in pattern recognition / W. Pedrycz and G. Vukovich -- ART-based model set for pattern recognition: FasArt family / G. I. Sainz Palmero ... [et al.] -- Applications. A methodology and a system for adaptive speech recognition in anoisy environment based on adaptive noise cancellation and evolving fuzzy neural networks / N. Kasabov and G. Iliev -- Neural versus heuristic development of Choquet fuzzy integral fusion algorithms for land mine detection / P. D. Gader ... [et al.] -- Automatic segmentation of multi-spectral MR brain images using a neuro-fuzzy algorithm / S. Y. Lee ... [et al.] -- Vision-based neuro-fuzzy control of autonomous lane following vehicle / Y.-J. Ryoo.
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| Abstract
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Neural networks and fuzzy techniques are among the most promising approaches to pattern recognition. Neuro-fuzzy systems aim at combining the advantages of the two paradigms. This book is a collection of papers describing state-of-the-art work in this emerging field. It covers topics such as feature selection, classification, classifier training, and clustering. Also included are applications of neuro-fuzzy systems in speech recognition, land mine detection, medical image analysis, and autonomous vehicle control. The intended audience includes graduate students in computer science and related fields, as well as researchers at academic institutions and in industry.
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| Subject
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Fuzzy systems.
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| Subject
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Neural networks (Computer science)
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| Subject
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Pattern recognition systems.
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| Subject
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COMPUTERS-- Optical Data Processing.
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| Subject
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Fuzzy systems.
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| Subject
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Neural networks (Computer science)
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| Subject
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Pattern recognition systems.
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| Dewey Classification
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006.4
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| LC Classification
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TK7882.P3N47 2000eb
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| Added Entry
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Bunke, Horst.
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Kandel, Abraham.
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