Classification With The Advanced RAM Neural Network

This article studies the saturation problem of a RAM neural network, a ntuple classifier containing was 12-input neurons applied to the character recognition task,by using the specific data base that contains 2000 pattern of digital image. It presents data to evaluate this problem and correlates it to other characteristics of the RAM nets .Therefore, two approaches were suggested to reduce the network saturation and improve the recognition level: the Filtered RAM and the Advanced RAM Neural . The first version simply multiplies each input vector by a digital filter during the training and the recall phases. The second approach associates the weight concept to the network in order to distinguish different regions among the trained classes.