"Ton Schomaker" <email@example.com> wrote in message <firstname.lastname@example.org>... > I have trained a very good ff neural network with the restiction that any increase of each input parameters A, B, C... must give higher output values (R2 = 0.94). However when I use the best trained NN using better (i.e. increased) input data the output sometimes is lower than the original target value. > Does someone have a solution for this problem?
Good solutions have a mean error of 0. Therefore, ~50% of the answers should be above the target value.