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Applied Optics

Applied Optics

APPLICATIONS-CENTERED RESEARCH IN OPTICS

  • Vol. 37, Iss. 14 — May. 10, 1998
  • pp: 2852–2857

Optical learning neural network with a Pockels readout optical modulator

Masahiko Mori, Yutaka Yagai, Toyohiko Yatagai, and Masanobu Watanabe  »View Author Affiliations


Applied Optics, Vol. 37, Issue 14, pp. 2852-2857 (1998)
http://dx.doi.org/10.1364/AO.37.002852


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Abstract

We have constructed an optical neural-network system with learning capability by using a Pockels readout optical modulator. The system has a two-dimensional structure that permits easy optical alignment and can handle images without scanning. Learning signals are calculated optically with two liquid-crystal devices by a matrix–matrix outer-product method. The calculated learning signals are added directly to the weights memorized on the Pockels readout optical modulator. A two-layer network is implemented, and the learning and recognition of four alphabetical characters are realized according to the delta rule.

© 1998 Optical Society of America

OCIS Codes
(200.4260) Optics in computing : Neural networks
(200.4860) Optics in computing : Optical vector-matrix systems
(230.4110) Optical devices : Modulators

History
Original Manuscript: August 21, 1997
Revised Manuscript: December 22, 1997
Published: May 10, 1998

Citation
Masahiko Mori, Yutaka Yagai, Toyohiko Yatagai, and Masanobu Watanabe, "Optical learning neural network with a Pockels readout optical modulator," Appl. Opt. 37, 2852-2857 (1998)
http://www.opticsinfobase.org/ao/abstract.cfm?URI=ao-37-14-2852


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References

  1. N. H. Farhat, D. Psaltis, “New approach to optical information processing based on the Hopfield model,” (abstract) J. Opt. Soc. Am. A 1, 1296 (1984).
  2. D. Psaltis, N. H. Farhat, “Optical information processing based on an associative-memory model of neural nets with thresholding and feedback,” Opt. Lett. 10, 98–100 (1985). [CrossRef] [PubMed]
  3. N. H. Farhat, D. Psaltis, A. Prata, E. Peak, “Optical implementation of the Hopfield model,” Appl. Opt. 24, 1469–1475 (1985). [CrossRef] [PubMed]
  4. J. Ohta, M. Takahashi, Y. Nitta, S. Tai, K. Mitsunaga, K. Kyuma, “GaAs/AlGaAs optical synaptic interconnection device for neural networks,” Opt. Lett. 14, 844–846 (1989). [CrossRef] [PubMed]
  5. J. Ohta, Y. Nitta, K. Kyuma, “Dynamic optical neurochip using variable-sensitivity photodiodes,” Opt. Lett. 16, 744–746 (1991). [CrossRef] [PubMed]
  6. M. Ishikawa, N. Mukohzaka, H. Toyoda, Y. Suzuki, “Optical associatron: a simple model for optical associative memory,” Appl. Opt. 28, 291–301 (1989). [CrossRef] [PubMed]
  7. T. Lu, K. Choi, S. Wu, X. Xu, F. T. S. Yu, “Optical disk based neural network,” Appl. Opt. 28, 4722–4724 (1989). [CrossRef] [PubMed]
  8. Y. Hayasaki, I. Tohyama, T. Yatagai, M. Mori, S. Ishihara, “Optical learning neural network using Selfoc microlens array,” Jpn. J. Appl. Phys. 31, 1689–1693 (1992). [CrossRef]
  9. M. Mori, Y. Hayasaki, I. Tohyama, T. Yatagai, “Optical learning neural network using a Selfoc microlens array for pattern recognition,” Opt. Rev. 1, 44–46 (1994). [CrossRef]
  10. S. Gao, Y. Zhang, J. Yang, G. Mu, “Coaxial architecture of an optical neural network with a lenslet array,” Opt. Lett. 19, 2155–2157 (1994). [CrossRef] [PubMed]
  11. S. Gao, J. Yang, Y. Zhang, G. Mu, “Architecture design of an optical neural network with lenslet array,” Optik 101, 127–129 (1996).
  12. N. Kasama, Y. Hayasaki, T. Yatagai, M. Mori, S. Ishihara, “Experimental demonstration of optical three-layer neural network,” Jpn. J. Appl. Phys. 29, L1565–L1568 (1990). [CrossRef]
  13. I. Tohyama, Y. Hayasaki, T. Yatagai, M. Mori, S. Ishihara, “Renewal method of weight matrix in optical neural network,” in Optical Computing, A. M. Goncharenko, F. V. Karpushko, G. V. Sinitsyn, S. P. Apanasevich, eds., Proc. SPIE1806, 271–278 (1992). [CrossRef]
  14. M. Mori, S. Ishihara, I. Tohyama, Y. Hayasaki, T. Yatagai, “Optical neural networks based on an electron-beam addressed spatial light modulator,” in Optical Computing and Neural Networks, K.-Y. Hsu, H.-K. Liu, eds., Proc. SPIE1812, 57–63 (1992). [CrossRef]
  15. Y. Osugi, H. Abe, A. Honda, A. Hamajima, S. Toyoda, “A method for making high resolution PROM,” in Technical Digest of International Topical Meeting on Optical Computing, J. Tsujiuchi, Y. Ichioka, S. Ishihara, eds. (Japan Society of Applied Physics, Tokyo, Japan, 1990), pp. 21–22.
  16. F. Itoh, K. Kitayama, Y. Tanuma, “Optical outer-product learning in a neural network using optically stimulable phosphor,” Opt. Lett. 15, 860–862 (1990). [CrossRef] [PubMed]
  17. J. Duvillier, M. Killinger, K. Heggarty, K. Yao, J. L. de Bougrenet de la Tocnaye, “All-optical implementation of a self-organizing map: a preliminary approach,” Appl. Opt. 33, 258–266 (1994). [CrossRef] [PubMed]
  18. K. Heggarty, J. Duvillier, E. Carpio Perez, J. L. de Bougrenet de la Tocnaye, “All-optical implementation of a self-organizing map: learning and taxonomy capability assessment,” Appl. Opt. 34, 8167–8175 (1995). [CrossRef] [PubMed]
  19. Y. Bitoh, T. Minemoto, “Fast response PROM using GaAs single crystal,” in Spatial Light Modulators, G. Burdge, S. C. Esener, eds., Vol. 14 of OSA Trends in Optics and Photonics Series (Optical Society of America, Washington, D.C., 1997), pp. 147–154.
  20. M. Mori, Y. Nagamune, M. Watanabe, T. Noda, H. Sakaki, “Neuron devices based on point contact phototransistors,” in Digest of the IEEE/LEOS 1996 Summer Topical Meeting on Smart Pixels (IEEE, Piscataway, N.J., 1996), pp. 9–10.

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