Prediction performance of reservoir computing system based on a semiconductor laser subject to double optical feedback and optical injection

被引：103

作者：

Hou, YuShuang ^{[1
,2
]}

Xia, GuangQiong ^{[1
]}

Yang, WenYan ^{[1
,3
]}

Wang, Dan ^{[1
]}

Jayaprasath, Elumalai ^{[1
]}

Jiang, ZaiFu ^{[1
]}

Hu, ChunXia ^{[1
]}

Wu, ZhengMao ^{[1
]}

机构：

[1] Southwest Univ, Sch Phys Sci & Technol, Chongqing 400715, Peoples R China

[2] Inner Mongolia Univ Sci & Technol, Sch Sci, Baotou 014010, Peoples R China

[3] Chongqing Univ Sci & Technol, Sch Math & Phys, Chongqing 401331, Peoples R China

来源：

OPTICS EXPRESS | 2018年 / 26卷 / 08期

基金：

中国国家自然科学基金;

关键词：

NEURAL-NETWORKS; IMPLEMENTATION; COMPUTATION; DYNAMICS;

D O I：

10.1364/OE.26.010211

中图分类号：

O43 [光学];

学科分类号：

070207 ; 0803 ;

摘要：

A reservoir computing (RC) system based on a semiconductor laser (SL) with double optical feedback and optical injection is proposed, and the prediction performance of such a system is numerically investigated via Santa Fe Time-Series Prediction task. The simulation results indicate that the RC system can yield a good prediction performance. Through optimizing some relevant operating parameters, ultra-fast information processing rates up to Gb/s level can be realized for the prediction error is below 3%. (C) 2018 Optical Society of America under the terms of the OSA Open Access Publishing Agreement

引用

页码：10211 / 10219

页数：9

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