UID:
almafu_9959328166102883
Format:
1 online resource (xviii, 243 pages, 12 unnumbered pages of plates) :
,
illustrations (some color)
ISBN:
9780470638286
,
0470638281
,
9780470638279
,
0470638273
,
1118097742
,
9781118097748
,
1283100797
,
9781283100793
,
9786613100795
,
661310079X
Series Statement:
Adaptive and learning systems for signal processing, communication, and control
Content:
"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."--
Note:
Frontmatter -- Color Plates -- Total Least Squares Problems -- MCA EXIN Neuron -- Variants of the MCA EXIN Neuron -- Introduction to the TLS EXIN Neuron -- Generalization of Linear Regression Problems -- GeMCA EXIN Theory -- References -- Index -- Adaptive and Learning Systems for Signal Processing, Communication, and Control.
,
English.
Additional Edition:
Print version: Cirrincione, Giansalvo, 1959- Neural-based orthogonal data fitting. Hoboken, N.J. : Wiley, ©2010 ISBN 9780471322702
Language:
English
Keywords:
Electronic books.
;
Electronic books.
;
Electronic books.
URL:
https://onlinelibrary.wiley.com/doi/book/10.1002/9780470638286
URL:
https://onlinelibrary.wiley.com/doi/book/10.1002/9780470638286
URL:
https://onlinelibrary.wiley.com/doi/book/10.1002/9780470638286
