Self-organizing pattern learning optical system

Abstract

A pattern learning system uses a self-organizing optical neural network of the Kohonen variety for unsupervised learning. The learning system comprises an optical pattern correlation degree detector, which comprises a pattern storing device for storing a plurality of patterns, an input pattern displaying device for displaying a presented input pattern, and a photo detecting device. Two or more of the input pattern displaying devices, the pattern storing device, and the photo detecting device are located at positions adjacent to each other. The photo detecting device optically detects a degree of pattern correlation between the input pattern displayed on the input pattern displaying device and each of the memory patterns stored in the pattern storing device. A learning pattern creating device creates a group of learning patterns in accordance with the degrees of pattern correlation, which have been detected by the optical pattern correlation degree detecting device, and the input pattern. A memory pattern updating device updates the memory patterns, which are stored in the pattern storing device, in accordance with the learning patterns, which have been created by the learning pattern creating devices.

Dependencies are inferred from the claim text.