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Optics Letters

Optics Letters


  • Vol. 18, Iss. 24 — Dec. 15, 1993
  • pp: 2135–2137

Conditional convergence of photorefractive perceptron learning

Ken Y. Hsu, Shiuan Huei Lin, and Pochi Yeh  »View Author Affiliations

Optics Letters, Vol. 18, Issue 24, pp. 2135-2137 (1993)

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We consider the convergence characteristics of a perceptron learning algorithm, taking into account the decay of photorefractive holograms during the process of interconnection weight changes. As a result of the hologram erasure, the convergence of the learning process is dependent on the exposure time during the weight changes. A mathematical proof of the conditional convergence, as well as computer simulations of the photorefractive perceptrons, is presented and discussed.

© 1993 Optical Society of America

Original Manuscript: August 6, 1993
Published: December 15, 1993

Ken Y. Hsu, Shiuan Huei Lin, and Pochi Yeh, "Conditional convergence of photorefractive perceptron learning," Opt. Lett. 18, 2135-2137 (1993)

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  1. R. O. Duda, P. E. Hart, Pattern Classification and Scene Analysis (Wiley, New York, 1973), Chap. 5, p. 142.
  2. D. Psaltis, D. Brady, K. Wagner, Appl. Opt. 27, 1752 (1988). [CrossRef]
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  6. See, for example,P. Yeh, Introduction to Photorefractive Nonlinear Optics (Wiley, New York, 1993), App. A, pp. 392–393.

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