LEARNING PROCESSING SYSTEM OF NETWORK STRUCTURE DATA PROCESSING UNIT.

摘要

A basic unit for obtaining an output is constituted by multiplying a number of inputs by weights, totaling the results of multiplications to obtain a product sum and obtaining the output from this product sum by use of a threshold function. A hierarchical network consisting of an input layer, an intermediate layer and an output layer is constituted by use of such a basic unit. The hierarachical network conducts learning by determining the updating quantity of the weights from errors between the output signals obtained from the output layer for a number of inputs and teacher's signals representing the values which the output signals should take on, in accordance with a back-propagation method in order to obtain the weight value which keeps the sum of error values within a predetermined allowance range. In learning of such a hierarachical network, the updating quantity of the weight to be obtained at the time of the current weight updating cycle is determined in consideration of the updating quantity of the weight obtained at the time of ne cycle earlier updating cycle than the last updating cycle in addition to the updating quantity of the weight determined at the time of the last weight updating cycle.