Neuro-fuzzy Pattern Recognition

By: H Bunke (Editor), A Kandel (Editor)

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Hardcover | 22 December 2000

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Hardcover
276 Pages

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21.59 x 15.88 x 1.91

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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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You Can Find This Book In

Non-Fiction Medicine Medicine in General Computing & I.T.Computer Science Image Processing Artificial Intelligence Pattern Recognition Neural Networks & Fuzzy Systems Booktopia Publisher Services World Scientific Publishing

Preface
Methodology	p. 1
Simultaneous Feature Analysis and System Identification in a Neuro-Fuzzy Framework	p. 3
Neuro-Fuzzy Model for Unsupervised Feature Extraction with Real Life Applications	p. 23
A Computational-Intelligence-Based Approach to Decision Support	p. 51
Clustering Problem Using Fuzzy C-Means Algorithms and Unsupervised Neural Networks	p. 75
Automatic Training of Min-Max Classifiers	p. 101
Granular Computing in Pattern Recognition	p. 125
ART-Based Model Set for Pattern Recognition: Fas/Art Family	p. 145
Applications	p. 177
A Methodology and a System for Adaptive Speech Recognition in a Noisy Environment Based on Adaptive Noise Cancellation and Evolving Fuzzy Neural Networks	p. 179
Neural Versus Heuristic Development of Choquet Fuzzy Integral Fusion Algorithms for Land Mine Detection	p. 205
Automatic Segmentation of Multi-Spectral MR Brain Images Using a Neuro-Fuzzy Algorithm	p. 227
Vision-Based Neuro-Fuzzy Control of Autonomous Lane Following Vehicle	p. 249
Table of Contents provided by Blackwell. All Rights Reserved.

Neuro-fuzzy Pattern Recognition

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