Paper
1 November 1991 Optical neural network with reconfigurable holographic interconnection
Andrew G. Kirk, G. D. Kendall, Hasan T. Imam, Trevor J. Hall
Author Affiliations +
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.
© (1991) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
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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Cited by 3 scholarly publications.
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KEYWORDS
Neural networks

Spatial light modulators

Holography

Neurons

Image processing

Imaging systems

Binary data

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