Optical engineering for neural networks: an emerging technology

Mohammed R. Sayeh

doi:10.1117/12.25882

1 March 1991 Optical engineering for neural networks: an emerging technology

Mohammed R. Sayeh

Proceedings Volume 1396, Applications of Optical Engineering: Proceedings of OE/Midwest '90; (1991) https://doi.org/10.1117/12.25882
Event: Applications of Optical Engineering: Proceedings of OE/Midwest '90, 1990, Rosemont, IL, United States

Abstract

Artificial neural networks are Information processing structures based upon models of brain functions. They are highly parallel and distributed dynamical systems that can carry out information processing by means of their state response to input stimuli. These networks promises advantages in speed adaptability and fault tolerance resulting from their highly parallel architectures. In this paper feedforward and recurrent networks are reviewed. These networks consist of collections of simple processing elements and dense interconnections among the processors. The optical techniques are good candidates for proving the neural network Implementation needs specifically the heavy interconnections among the processors. Finally some Important optical neural networks are reviewed.

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Mohammed R. Sayeh "Optical engineering for neural networks: an emerging technology", Proc. SPIE 1396, Applications of Optical Engineering: Proceedings of OE/Midwest '90, (1 March 1991); https://doi.org/10.1117/12.25882

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KEYWORDS

Neural networks

Data processing

Optical engineering

Brain

Content addressable memory

Process control

Artificial neural networks

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