An Improved ART1 neural network algorithm for character recognition

The paper indicates the shortage of standard ART1 neural network, and an improved calculating method of similarity is presented. The corresponding place value of two vectors at the same time is considered in this method. The method avoids the different result of ART1 neural network because of inputting different sequence. In order to solve the pattern excursion problem of ART1 neural network, the principle of minority subordinate to majority is proposed to reduce the appeared problem. They improve the applicative effect of ART1 neural network.