Conditional convergence of photorefractive perceptron learning | Zendy

Ken Y. Hsu | Zendy; Shiuan Huei Lin | Zendy; Pochi Yeh | Zendy

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Conditional convergence of photorefractive perceptron learning

Author(s) -

Ken Y. Hsu,

Shiuan Huei Lin,

Pochi Yeh

Publication year - 1993

Publication title -

optics letters

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 1.524

H-Index - 272

eISSN - 1071-2763

pISSN - 0146-9592

DOI - 10.1364/ol.18.002135

Subject(s) - photorefractive effect , convergence (economics) , holography , perceptron , erasure , computer science , optics , process (computing) , artificial neural network , artificial intelligence , physics , economics , economic growth , programming language , operating system

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.

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