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Applied Optics

Applied 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)

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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

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

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)

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