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lyngby_nn_eerror

(export/lyngby/lyngby_nn_eerror.m)


Function Synopsis

E =  lyngby_nn_eerror(T, Y)

Help text

 lyngby_nn_eerror     - Calculate (cross-)entropic error

       function E =  lyngby_nn_eerror(T, Y)

       Input:	T   Target Output
		Y   Neural network output

       Output:	E   Error, normalized over patterns and outputs

       If T=1 and Y=-1 the result is not Inf but log(realmin).      

       The entropy in this case is also called 'cross-entropy', 
       'relative entropy' or the 'Kullback' measure.

       See also LYNGBY, LYNGBY_NN_EMAIN, LYNGBY_NN_COST.

 $Id: lyngby_nn_eerror.m,v 1.2 2004/06/03 17:34:49 fnielsen Exp $

Cross-Reference Information

This function is called by

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