CASCADED-GRATING HOLOGRAPHY FOR ARTIFICIAL NEURAL NETWORKS

被引：22

作者：

OWECHKO, Y

机构：

[1] Hughes Research Laboratories, Malibu, CA, 90265-4797

来源：

APPLIED OPTICS | 1993年 / 32卷 / 08期

关键词：

D O I：

10.1364/AO.32.001380

中图分类号：

O43 [光学];

学科分类号：

070207 ; 0803 ;

摘要：

A holographic technique for implementing optical neural networks is described in which each connection weight is distributed among a series of cascaded angularly and spatially multiplexed photorefractive gratings. This greatly reduces cross talk caused by the conical Bragg degeneracy associated with a single grating, reduces distortions caused by beam coupling, and improves the utilization of pixels in the input spatial light modulator. Experimental examples of high-quality holographic storage and optical implementations of the perceptron and backpropagation neural networks are also discussed.

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页码：1380 / 1398

页数：19

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