Recognition of patient anaesthetic levels: neural network systems, principal components analysis, and canonical discriminant variates

1997 ◽  
Vol 11 (2) ◽  
pp. 155-173 ◽  
Author(s):  
D.A Linkens ◽  
L Vefghi
Keyword(s):  
Neural Network ◽  
Principal Components Analysis ◽  
Principal Components ◽  
Network Systems ◽  
Components Analysis

A Principal Components Analysis Self-Organizing Neural Network Model and Computational Experiment

2013 ◽  
Vol 756-759 ◽  
pp. 3330-3335
Author(s):  
Ji Fu Nong
Keyword(s):  
Neural Network ◽  
Principal Components Analysis ◽  
Network Model ◽  
Neural Network Model ◽  
Principal Components ◽  
Computational Experiment ◽  
Neural Model ◽  
Self Organizing Map ◽  
Components Analysis ◽  
Self Organizing

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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