Hostname: page-component-cd9895bd7-jn8rn Total loading time: 0 Render date: 2024-12-27T02:04:19.685Z Has data issue: false hasContentIssue false
  • English
  • Français

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
Get access

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.

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

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

REFERENCES

The references to Applied Optics refer to articles in the special issue of Applied Optics on “Neural Networks”, vol. 26, 1987.Google Scholar
Boyd, G D, Miller, D A B, Chemla, D S, McCall, S L, Gossard, A C, English, J H, Appl. Phys Lett., vol.50, 1119 (1987)Google Scholar
Caudill, M C, Butler, C, eds., IEEE First International Conference on Neural Networks, vols 1–4, 87ThO191–7, San Diego, Ca. 1987.Google Scholar
Denker, J S, eds., Neural Networks for Computing, American Institute of Physics Conference Proceedings # 151, 1986.Google Scholar
Dimmock, J O, Proceedings of the Society of Photo-optical Instrumentation Engineers, Vol.32, 9, (1972)Google Scholar
Focht, G, Cocke, S and Downey, M C, CLEO Tech. Digest, Vol.14, 16, Series 1987 Google Scholar
Friberg, S R and Smith, P W, IEEE J Quantum Electron, QE–23, 2089, (1987)Google Scholar
Lee, H C, Dzurko, K M, Dapkus, P D and Garmire, E, Appl. Phys. Lett., vol.51 (1987)Google Scholar
Lentine, A L, Hinton, H S, Miller, D A B, Henry, J E, Cunningham, J E, and English, J H, Paper ThUll, Conference on Lasers and Electro-Optics, Baltimore, (1987)Google Scholar
Miller, D A B, Chemla, D S, Damen, T C, Wood, T H, Burrus, C A, Gossard, A, and Weigmann, W, IEEE J. Quantum Electron. QE–21, 1462 (1985), and other references therein.Google Scholar
Rumelhart, D E, McClelland, J L, eds., Parallel Distributed Processing, MIT Press, Cambridge Ma. 1986.Google Scholar
Shamir, J, Applied Optics, 26, 1567, (1987)Google Scholar
Singh, J., private communicationGoogle Scholar
Eck, T. E Van and Chang, W S C, Paper, Conference on Lasers and Electro-Optics, Baltimore, (1987)Google Scholar
Wakita, K, Kawamura, Y, Yoshikuni, Y, Asahi, H, and Uehara, S, IEEE J. Quantum Electron. QE-22, 1831 (1986)Google Scholar
Wheatley, P, Whitehead, M, Midwinter, J E, Mistry, P, Pate, M A, and Roberts, J S, Optics Lett., Vol.12, 784, (1987)Google Scholar