Acta Universitatis Apulensis Optoelectronic Neural Networks. Optical Interconnection of Neurons by Computer Generated Holograms (ii)

This article is the second part of a work dealing with the optoelectronic implementation of artificial neural networks. The authors analyze the problems involved by using computer-generated holograms (CGH) for these interconnections and some methods of designing such diffractive elements. The authors also analyze the error sources and the consequences caused by random deviations of the neurons interconnection weights from the accurately computed values. The theoretical considerations are illustrated by designing an auto associative memory built for graphic pattern recognition. Neurons interconnections are to be implemented optically by computer generated holograms (CGH). The network functioning was simulated on computer and the paper presents also the results of simulations on a data set and a CGH layout for neuron interconnections.