Neural based orthogonal data fitting
Subtitle: the EXIN neural networks
By: Giansalvo Cirrincione, Maurizio Cirrincione
Contributors: Cirrincione, Maurizio, 1961-
Series: Wiley series in Adaptive & learning systems for signal processing, communications and control
Publisher: Wiley
Published: 2010
Place of publication: Hoboken, NJ
Language: eng
ISBN-13: 9780471322702
Description: "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."--
Notes: Includes bibliographical references and index.