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
收藏
页码：10211 / 10219
页数：9
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