NEURAL NETWORKS AND NEURAL MEMORY

摘要

A neural pattern matcher is made up of an array of first sum and threshold SAT1 devices (18) each of which receives a number of inputs and a threshold value, and fires a (1) output if the number of inputs exceeds the threshold value. The outputs of the array of the SAT1 devices may be considered as a 2D image or generic template against which new data supplied into the registers (26) making up a data plane (24) are correlated at a correlation plane (20) of EXOR gates (22). The outputs of the EXOR gates themselves may be summed and thresholded by a second sum and threshold device (28) to provide a neural output '1' or '0' indicating match or no match. The matcher may therefore behave as a neural auto-associative memory which continually adapts to the input data to recognise data of a particular specified class.