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Subspace Learning of Neural Networks
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Subspace Learning of Neural Networks

Book Details

Format Hardback or Cased Book
ISBN-10 1439815356
ISBN-13 9781439815359
Publisher Taylor & Francis Inc
Imprint CRC Press Inc
Country of Manufacture US
Country of Publication GB
Publication Date Sep 29th, 2010
Print length 256 Pages
Weight 498 grams
Dimensions 24.40 x 16.60 x 2.00 cms
Ksh 34,200.00
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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. It summarizes a decade of high quality research offering a host of practical applications.

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.


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