A general theory of a class of linear neural nets for principal and minor component analysis

1999 ◽  
Vol 3 (4) ◽  
pp. 246-254
Author(s):  
Kiyotoshi Matsuoka
Author(s):  
Roger Xu ◽  
Guangfan Zhang ◽  
Xiaodong Zhang ◽  
Leonard Haynes ◽  
Chiman Kwan ◽  
...  

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 31530-31538
Author(s):  
Xu Zhongying ◽  
Gao Yingbin ◽  
Kong Xiangyu

2004 ◽  
Vol 14 (01) ◽  
pp. 1-8 ◽  
Author(s):  
RALF MÖLLER

The paper reviews single-neuron learning rules for minor component analysis and suggests a novel minor component learning rule. In this rule, the weight vector length is self-stabilizing, i.e., moving towards unit length in each learning step. In simulations with low- and medium-dimensional data, the performance of the novel learning rule is compared with previously suggested rules.


2002 ◽  
Vol 13 (1) ◽  
pp. 160-187 ◽  
Author(s):  
G. Cirrincione ◽  
M. Cirrincione ◽  
J. Herault ◽  
S. Van Huffel

2013 ◽  
Vol 23 (1) ◽  
pp. 19-29 ◽  
Author(s):  
Messaoud Thameri ◽  
Karim Abed-Meraim ◽  
Adel Belouchrani

Sign in / Sign up

Export Citation Format

Share Document