Optical neural network with reconfigurable holographic interconnection

Andrew G. Kirk; G. D. Kendall; Hasan T. Imam; Trevor J. Hall

doi:10.1117/12.50439

1 November 1991 Optical neural network with reconfigurable holographic interconnection

Andrew G. Kirk, G. D. Kendall, Hasan T. Imam, Trevor J. Hall

Proceedings Volume 1621, Optical Memory and Neural Networks; (1991) https://doi.org/10.1117/12.50439
Event: Optical Memory and Neural Networks, 1991, Zvenigorod, Russian Federation

Abstract

A high-performance bipolar analogue optical neural network with flexible architecture has been designed. This is achieved by the use of an all-optical two-dimensional global interconnection system that uses holographic multiple imaging. The weight matrix and input planes of the neural network are determined by spatial light modulators (SLM). This facilitates learning in situ with direct learning techniques proposed. Simulated results from the optical analogue neural network are presented using image processing primitives as a demonstrator.

Citation Download Citation

Andrew G. Kirk, G. D. Kendall, Hasan T. Imam, and Trevor J. Hall "Optical neural network with reconfigurable holographic interconnection", Proc. SPIE 1621, Optical Memory and Neural Networks, (1 November 1991); https://doi.org/10.1117/12.50439

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