Hey John,   For multiple outputs, the SAS neural network will sum 2*-log likelihood calculated for each target, and then multiple the net of that by 2*number of model parameters.   If you’re using the fit statistics, then you would sum(_ERR_ target1 +……+_ERR_ targetk )+2*_DFM_.   I haven’t found any documentation mentioning this.  However, I tested this twice to make sure I could match the AIC for the overall model.  Once using a neural network to model two binary targets, and then again using a neural network modeling a binary and a multinomial target.      Good questions.  Keep them coming! Best,   Robert ... View more