人工神经网络
计算机科学
可制造性设计
光子学
炸薯条
绝缘体上的硅
电子工程
过程(计算)
人工智能
光学
光电子学
硅
物理
电信
电气工程
工程类
操作系统
作者
Tingzhao Fu,Yubin Zang,Honghao Huang,Zhenmin Du,Chengyang Hu,Minghua Chen,Sigang Yang,Hongwei Chen
出处
期刊:Optics Express
[Optica Publishing Group]
日期:2021-09-13
卷期号:29 (20): 31924-31924
被引量:47
摘要
An integrated physical diffractive optical neural network (DONN) is proposed based on a standard silicon-on-insulator (SOI) substrate. This DONN has compact structure and can realize the function of machine learning with whole-passive fully-optical manners. The DONN structure is designed by the spatial domain electromagnetic propagation model, and the approximate process of the neuron value mapping is optimized well to guarantee the consistence between the pre-trained neuron value and the SOI integration implementation. This model can better ensure the manufacturability and the scale of the on-chip neural network, which can be used to guide the design and manufacturing of the real chip. The performance of our DONN is numerically demonstrated on the prototypical machine learning task of prediction of coronary heart disease from the UCI Heart Disease Dataset, and accuracy comparable to the state-of-the-art is achieved.
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