Subspace Learning of Neural Networks

Subspace Learning of Neural Networks

EnglishHardback
Cheng Lv, Jian
Taylor & Francis Inc
EAN: 9781439815359
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Detailed information

Using real-life examples to illustrate the performance of learning algorithms and instructing readers how to apply them to practical applications, this work offers a comprehensive treatment of subspace learning algorithms for neural networks. The authors summarize a decade of high quality research offering a host of practical applications. They demonstrate ways to extend the use of algorithms to fields such as encryption communication, data mining, computer vision, and signal and image processing to name just a few. The brilliance of the work lies with how it coherently builds a theoretical understanding of the convergence behavior of subspace learning algorithms through a summary of chaotic behaviors.

EAN 9781439815359
ISBN 1439815356
Binding Hardback
Publisher Taylor & Francis Inc
Publication date September 29, 2010
Pages 256
Language English
Dimensions 234 x 156
Country United States
Authors Cheng Lv, Jian; Yi Zhang; Zhou Jiliu
Illustrations 5 Tables, black and white; 84 Illustrations, black and white
Series Automation and Control Engineering
Manufacturer information
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