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Electro-optical Neural Networks based on Time-stretch Method

2019-09-13 02:17:26
Yubin Zang, Minghua Chen, Sigang Yang, Hongwei Chen
arXiv_AI
       
Abstract

In this paper, a novel architecture of electro-optical neural networks based on the time-stretch method is proposed and numerically simulated. By stretching time-domain ultrashort pulses, multiplications of large scale weight matrices and vectors can be implemented on light and multiple-layer of feedforward neural network operations can be easily implemented with fiber loops. Via simulation, the performance of a three-layer electro-optical neural network is tested by the handwriting digit recognition task and the accuracy reaches 88% under considerable noise.

Abstract (translated)

URL

https://arxiv.org/abs/1909.07788

PDF

https://arxiv.org/pdf/1909.07788.pdf

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