Supervised and Unsupervised Pattern Recognition - Feature Extraction and Computational Intelligence (Hardcover)

There are many books on neural networks, some of which cover computational intelligence, but none that incorporate both feature extraction and computational intelligence, as Supervised and Unsupervised Pattern Recognition does. This volume describes the application of a novel, unsupervised pattern recognition scheme to the classification of various types of waveforms and images.
This substantial collection of recent research begins with an introduction to Neural Networks, classifiers, and feature extraction methods. It then addresses unsupervised and fuzzy neural networks and their applications to handwritten character recognition and recognition of normal and abnormal visual evoked potentials. The third section deals with advanced neural network architectures-including modular design-and their applications to medicine and three-dimensional NN architecture simulating brain functions. The final section discusses general applications and simulations, such as the establishment of a brain-computer link, speaker identification, and face recognition.
In the quickly changing field of computational intelligence, every discovery is significant. Supervised and Unsupervised Pattern Recognition gives you access to many notable findings in one convenient volume.

General

Imprint:	Crc Press
Country of origin:	United States
Series:	Industrial Electronics
Release date:	December 1999
First published:	2000
Series editors:	Richard C. Dorf
Contributors:	WooGon Chung
Series editors:	J. David Irwin
Contributors:	Timothy Dasey • Faiq Fazal • Seth Wolpert • Daniel A. Zahner • Ahmet Ademoglu • Cynthia Enderwick • Timothy J. Dasey
Dimensions:	234 x 156 x 27mm (L x W x T)
Format:	Hardcover
Pages:	388
ISBN-13:	978-0-8493-2278-5
Categories:	Books > Computing & IT > Applications of computing > Pattern recognition Books > Computing & IT > Applications of computing > Artificial intelligence > Neural networks Promotions
LSN:	0-8493-2278-2
Barcode:	9780849322785

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