overnight i tried training the “circle” problem with a new “infinite” training set method with quickprop. this method is similar to the old one, in that every pattern in a training set is trained simultaneously, but now the training set is only used once before a new one is generated. it seemed to work about as good as the standard quickprop with a single training set method at matching the “intended” region, by generally being one color near the center and another around the center, but was unable to meet the stopping criteria (which was relatively low, an error of 0.01) because of the constantly shifting training patterns. i think one reason for this might be that the network i was using (which was actually fairly large, {2, 12, 16, 20, 1}) might be technically unable to create a near-perfect circle region…
