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Applied Optics

Applied Optics

APPLICATIONS-CENTERED RESEARCH IN OPTICS

  • Vol. 29, Iss. 20 — Jul. 10, 1990
  • pp: 3019–3025

Optical pattern classifier with Perceptron learning

John H. Hong, Scott Campbell, and Pochi Yeh  »View Author Affiliations


Applied Optics, Vol. 29, Issue 20, pp. 3019-3025 (1990)
http://dx.doi.org/10.1364/AO.29.003019


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Abstract

An optical realization of a single layer pattern classifier is described in which Perceptron learning is implemented to train the system weights. Novel use of the Stokes’s principle of reversability for light is made to realize both additive and subtractive weight modifications necessary for true Perceptron learning. This is achieved by using a double Mach-Zehnder interferometer in conjunction with photorefractive hologram recording. Experimental results are given which show the high quality subtractive changes that can be made.

© 1990 Optical Society of America

History
Original Manuscript: August 25, 1989
Published: July 10, 1990

Citation
John H. Hong, Scott Campbell, and Pochi Yeh, "Optical pattern classifier with Perceptron learning," Appl. Opt. 29, 3019-3025 (1990)
http://www.opticsinfobase.org/ao/abstract.cfm?URI=ao-29-20-3019

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