DocumentCode
289782
Title
A self-organizing neural net with three functions related to principal component analysis
Author
Matsuoka, Kiyotoshi ; Kawamoto, Mitsuru
Author_Institution
Dept. of Control Eng., Kyushu Inst. of Technol., Kitakyushu, Japan
fYear
1993
fDate
17-20 Oct 1993
Firstpage
607
Abstract
The most remarkable property of the authors´ model is that the three mathematical functions related to principal component analysis (principal component analyzer, orthogonal projection operation, and novelty filter) are acquired by the same network but with different learning parameters
Keywords
learning (artificial intelligence); self-organising feature maps; stochastic processes; novelty filter; orthogonal projection operation; principal component analysis; principal component analyzer; self-organizing neural net; Control engineering; Eigenvalues and eigenfunctions; Filters; Mathematical model; Matrix decomposition; Neural networks; Principal component analysis; Stochastic processes;
fLanguage
English
Publisher
ieee
Conference_Titel
Systems, Man and Cybernetics, 1993. 'Systems Engineering in the Service of Humans', Conference Proceedings., International Conference on
Conference_Location
Le Touquet
Print_ISBN
0-7803-0911-1
Type
conf
DOI
10.1109/ICSMC.1993.384941
Filename
384941
Link To Document