Opto-Electronic Implementation of a Large-Scale Neural Network Using Multiplexing Techniques

Jun OHTA  Masaya OITA  Shuichi TAI  Kunihiko HARA  Kazuo KYUMA  

IEICE TRANSACTIONS (1976-1990)   Vol.E73   No.1   pp.41-45
Publication Date: 1990/01/25
Online ISSN: 
Print ISSN: 0000-0000
Type of Manuscript: Special Section PAPER (Special Issue on International Conference on Integrated Optics and Optical Fiber Communication)
Category: Optical Communication Systems and Applications

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We propose two kinds of architectures for implementing large-scale opto-electronic neural networks. These architectures are based on time- and frequency-division multiplexing (TDM and FDM) techniques, respectively, in which both the neuron state vector and the interconnection matrix are divided in the time- and frequency-domains. The computer simulations, which were carried out for the Hopfield associative memories in the neuron number of 400 and the memory number of 20, have shown their usefulness, providing almost the same recognition rate as the conventional architectures. Using the TDM technique, moreover, we experimentally demonstrated an opto-electronic implementation of the Hopfield associative memory. The experimental results showed that the number of the neurons was effectively increased. We further discuss how to construct the FDM system experimentally.