jdm5548@tamsun.tamu.edu (James Darrell McCauley) (06/12/91)
A friend ask this question of me and I wasn't quite sure how to answer. Perhaps someone could help. Given a NN, with say, 8 inputs and 3 outputs, that characterizes some process, and if 3 of the inputs are functions of other 5, is there a (smart) way to change the inputs to achieve a desired output vector? Assume that the net is trained and weights are constant. Is there a simple solution to this? How would you go about this? What neural network architecture would work best? Should I read those references on "extracting rules" posted a while back? --jdm5548@diamond.tamu.edu, jdm5548@tamagen.bitnet