Neural network employing a location addressable memory and method for

Abstract

A neural network provides faster learning speed and simplified overall structure through use of the concept of indirect association and a method for operating the same. The neural network is constructed as a CLCAM comprising an input-side single layer perceptron adapted to realize direct associations (X.sub.i, Z.sub.1i) as linearly separable problems with respect to given inputs (X.sub.i) and first intermediate states (Z.sub.1i) derived by the user, an output-side single layer perceptron adapted to realize direct associations (Z.sub.2i,Y.sub.i) as linearly separable problems with respect to given outputs (Y.sub.i) and second intermediate states (Z.sub.2i) derived by the user, and a location addressable memory adapted to connect said first intermediate states (Z.sub.1i) with said second intermediate states (Z.sub.2i). The neural network is also constructed as HyLCAM comprising a single layer perceptron adapted to realize direct associations (X.sub.i,Z.sub.i) as linearly separable problems with respect to given inputs (X.sub.i) and intermediate states (Z.sub.i) manually derived by the user, and a location addressable memory adapted to receive the intermediate states (Z.sub.i) from the single layer perceptron as addresses and store given output data (Y.sub.i) as desired output values, correspondingly to the addresses.