Neural-based orthogonal data fitting: the EXIN neural networks
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Bibliographic Details
Main Author: Cirrincione, Giansalvo (Author)
Format: Electronic eBook
Language:English
Published: Hoboken, N.J. Wiley ©2010
Series:Adaptive and learning systems for signal processing, communication, and control
Subjects:
Online Access:FRO01
UBG01
FHI01
FHN01
Volltext
Item Description:Includes bibliographical references and index
"Written by three leaders in the field of neural based algorithms, Neural Based Orthogonal Data Fitting proposes several neural networks, all endowed with a complete theory which not only explains their behavior, but also compares them with the existing neural and traditional algorithms. The algorithms are studied from different points of view, including: as a differential geometry problem, as a dynamic problem, as a stochastic problem, and as a numerical problem. All algorithms have also been analyzed on real time problems (large dimensional data matrices) and have shown accurate solutions. Where most books on the subject are dedicated to PCA (principal component analysis) and consider MCA (minor component analysis) as simply a consequence, this is the fist book to start from the MCA problem and arrive at important conclusions about the PCA problem."--
Physical Description:1 Online-Ressource (xviii, 243 pages, [12] pages of plates)
ISBN:9780470638286
0470638281
9780470638279
0470638273

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