Conditional convergence of photorefractive perceptron learning

Ken-Yuh Hsu, Shiuan-Huei Lin, Pochi Yeh

Research output: Contribution to journalArticlepeer-review

10 Scopus citations


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.

Original languageEnglish
Pages (from-to)2135-2137
Number of pages3
JournalOptics Letters
Issue number24
StatePublished - 1 Jan 1993

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