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Implementation of Neural Networks: Optical Architectures and Devices

Published online by Cambridge University Press:  25 February 2011

Kevin J. Malloy and
C. Lee Giles
Kevin J. Malloy
Affiliation:
Air Force Office of Scientific Research Bolling Air Force Base, DC 20332–6448
C. Lee Giles
Affiliation:
Air Force Office of Scientific Research Bolling Air Force Base, DC 20332–6448
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Abstract

We introduce neural networks as a new basis for computation. The role optics can play In implementing neural networks is discussed in terms of the requirements for optical systems and devices. A conclusion is drawn that the rapidly evolving knowledge of neural network models argues for a flexible and adaptable device technology. Such a technology is described using the self electro-optic effect device as an example.

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Type
Research Article
Information
MRS Online Proceedings Library (OPL) , Volume 109: Symposium K – Nonlinear Optical Properties of Polymers , 1987, 77
Copyright
Copyright © Materials Research Society 1988

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References

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