A new learning algorithm for Hopfield neural network to cope retrieving the stored pattern in a reversed color state problem

摘要

The aim beyond this paper is to developing the learning process in the Hopfield net for its important net through which many other networks have been developed, we suggest a certain algorithm for the learning process, the suggested algorithm has rid from one of limitations in the Hopfield net which is retrieving the stored pattern in a reversed color state (each black pixel will be white and vice versa).