Product Information
Using real-life examples to illustrate the performance of learning algorithms and instructing readers how to apply them to practical applications, this unique 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.Product Identifiers
PublisherTaylor & Francis Inc
ISBN-139781439815359
eBay Product ID (ePID)178111152
Product Key Features
Publication NameSubspace Learning of Neural Networks
SubjectScience
Publication Year2010
TypeTextbook
FormatHardcover
LanguageEnglish
AuthorJiliu Zhou, Zhang Yi, Jian Cheng Lv
Number of Pages248 Pages
Dimensions
Item Height235 mm
Item Weight499 g
Additional Product Features
Country/Region of ManufactureUnited States
Title_AuthorZhang Yi, Jiliu Zhou, Jian Cheng Lv
Series TitleAutomation and Control Engineering