A BP variant with improved convergence and generalization

A variant of backpropagation that trains faster, gets caught in local minima less frequently, generalizes better for a given amount of training, and is specifically adapted to pattern recognition problems is presented. These abilities are demonstrated by simulations of an archetypal classification task.<
>