Applications of Neural Networks to Adaptive Training Networks

1992 ◽  
Author(s):  
Peter L. Rothman
2014 ◽  
pp. 99-106
Author(s):  
Leonid Makhnist ◽  
Nikolaj Maniakov ◽  
Nikolaj Maniakov

Is proposed two new techniques for multilayer neural networks training. Its basic concept is based on the gradient descent method. For every methodic are showed formulas for calculation of the adaptive training steps. Presented matrix algorithmizations for all of these techniques are very helpful in its program realization.


1995 ◽  
Vol 25 (3) ◽  
pp. 512-514 ◽  
Author(s):  
Hsi-Chin Hsin ◽  
Ching-Chung Li ◽  
Mingui Sun ◽  
R.J. Sclabassi

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