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)