Adaptive multilayer optical neural network with optical thresholding

Indu Saxena; Emile Fiesler

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Adaptive multilayer optical neural network with optical thresholding

机译：具有光学阈值的自适应多层光学神经网络

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An adaptive multilayer optical neural network with all-optical forward propagation including optical thresholding by a liquid crystal light valve (LCLV) is described. It has a large number of modifiable optical interconnections that are implemented by liquid crystal television screens, and it has a modular structure enabling the cascading of layers, each layer with its own light source. Sigmoid fits to response curves of four LCLVs are evaluated and their suitability as optical thresholding functions is examined on the basis of neural network simulations.

机译：描述了一种具有全光前向传播的自适应多层光学神经网络，包括通过液晶光阀（LCLV）进行的光阈值化。它具有由液晶电视屏幕实现的大量可修改的光学互连，并且具有模块化的结构，可以级联各层，每一层都有自己的光源。评估了对四个LCLV的响应曲线的S形拟合，并在神经网络仿真的基础上检查了它们作为光学阈值函数的适用性。

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来源
《Optical engineering》 |1995年第8期|p.2435-2440|共6页
作者
Indu Saxena; Emile Fiesler;
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作者单位

IDIAP Case Postale 592 CH-1920 Martigny, Switzerland;

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收录信息美国《科学引文索引》(SCI);美国《工程索引》(EI);
原文格式 PDF
正文语种 eng
中图分类光学仪器;
关键词
optical multilayer neural network; ideal optical thresholding; liquid crystal light valve thresholding;

机译：光学多层神经网络;理想光学阈值;液晶光阀阈值;

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Adaptive multilayer optical neural network with optical thresholding

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