Neural network based principal components analysis for EEG pre-processing and analysis

1997 ◽  
Vol 103 (1) ◽  
pp. 115
Author(s):  
S Petránek
2013 ◽  
Vol 756-759 ◽  
pp. 3330-3335
Author(s):  
Ji Fu Nong

We propose a new self-organizing neural model that performs principal components analysis. It is also related to the adaptive subspace self-organizing map (ASSOM) network, but its training equations are simpler. Experimental results are reported, which show that the new model has better performance than the ASSOM network.


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