An integrated algorithm of magnified gradient function and weight evolution for solving local minima problem

This paper presents the integration of magnified gradient function and weight evolution algorithms in order to solve the local minima problem. The combination of the two algorithms gives a significant improvement in terms of the convergence rate and global search capability as compared to some common fast learning algorithms such as the standard backpropagation, Quickprop, resilient propagation, SARPROP, and genetic algorithms.