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Subspace Learning of Neural Networks

Subspace Learning of Neural Networks

by Cheng LV, Jian
No customer reviews yet ISBN 9781138112681

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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Pub dateJun 14, 2017
ISBN-101138112682
ISBN-139781138112681
LanguageEnglish
Last updated 2026-07-23 01:00
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