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Proceedings Paper

Optical implementation of neural networks
Author(s): Kazuo Kyuma; Kazumasa Mitsunaga; Jun Ohta
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Paper Abstract

In this paper, optical neural networks under development in our laboratory are reported, together with several novel devices for building advanced systems. This paper is divided into three parts. At first, neural network models which permit us to use commercially-available binary-operating devices are described, including both the feedback model and the feedforward model. Secondly, a GaAs/A1GaAs optical associative neuro-chip based on the feedback model, in which 32 neurons are implemented in an optical integrated structure, is introduced. Next a three-layered dynamic optical network which can recognize 26 characters of alphabet is described, using a spatial light modulator as the synaptic interconnection device. The emphasis is placed on the unique learning rule using the feed forward model. In the third part, fututre trend of optical neurochips is discussed.

Paper Details

Date Published: 1 August 1990
PDF: 12 pages
Proc. SPIE 1281, Optical Interconnections and Networks, (1 August 1990); doi: 10.1117/12.20686
Show Author Affiliations
Kazuo Kyuma, Mitsubishi Electric Corp. (Japan)
Kazumasa Mitsunaga, Mitsubishi Electric Corp. (Japan)
Jun Ohta, Mitsubishi Electric Corp. (Japan)

Published in SPIE Proceedings Vol. 1281:
Optical Interconnections and Networks
Hartmut Bartelt, Editor(s)

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