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lyngby_nn_edew

(export/lyngby/lyngby_nn_edew.m)


Function Synopsis

dEW = lyngby_nn_edew(EY, HH, W)

Help text

 lyngby_nn_edew       - Entropic neural network, output, 1st der.

       function dEW = lyngby_nn_edew(EY, HH, W)

       Input:  EY    Difference between neural network output and
                     target output (Y-T)
               HH    Hidden layer values with bias unit
               W     Output weights

       Output: dEW   Derivative in a matrix

       First order derivative for error function of the entropic
       neural network with respect to the output weights.

       See also: lyngby_nn_edev

Cross-Reference Information

This function is called by

Produced by mat2html on Wed Jul 29 15:43:40 2009
Cross-Directory links are: OFF