Supervised and Unsupervised Pattern Recognition : Feature Extraction and Computational Intelligence

Evangelia Miche Tzanakou

ISBN 10: 0849322782 / ISBN 13: 9780849322785

Published by CRC Press, 1999

About this Item

nach der Bestellung gedruckt Neuware - Printed after ordering - 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.

Seller Inventory # 9780849322785

Bibliographic Details

• Title: Supervised and Unsupervised Pattern Recognition : Feature Extraction and Computational Intelligence
• Publisher: CRC Press
• Publication Date: 1999
• Language: English
• ISBN 10: 0849322782
• ISBN 13: 9780849322785
• Binding: Buch
• Condition: Neu
• Dimensions: 240W x 161H x 25D millimeters 240 millimeters width by 161 millimeters height by 25 millimeters depth
• Weight: 746 grams

About this title

Synopsis

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.

About the Author

Evangelia Miche Tzanakou