A 2-D hybrid optical neural network using a high resolution video monitor as a programmable associative memory is proposed. Experiments and computer simulations of the system have been conducted. The superior resolution and the number of gray levels of the video monitor lead to the implementation of a larger number of neurons and a larger dynamic range. The system operates in a high speed asynchronous mode due to the parallel feedback loop. The programmability of the system permits the use of the Orthogonal Projection(OP) and the Multilevel Recognition (MR) algorithms to increase the error correction ability of the network. Using current integrated optics and electronic technology this optical neural system attains high learning and operational speed.
Francis T. S. Yu,
"Optical Implementation Of Programmable Neural Networks", Proc. SPIE 1053, Optical Pattern Recognition, (29 June 1989); doi: 10.1117/12.951513; https://doi.org/10.1117/12.951513