Literature DB >> 29715961

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

YuShuang Hou, GuangQiong Xia, WenYan Yang, Dan Wang, Elumalai Jayaprasath, ZaiFu Jiang, ChunXia Hu, ZhengMao Wu.   

Abstract

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%.

Entities:  

Year:  2018        PMID: 29715961     DOI: 10.1364/OE.26.010211

Source DB:  PubMed          Journal:  Opt Express        ISSN: 1094-4087            Impact factor:   3.894


  2 in total

1.  Enhancing Performance of Reservoir Computing System Based on Coupled MEMS Resonators.

Authors:  Tianyi Zheng; Wuhao Yang; Jie Sun; Xingyin Xiong; Zheng Wang; Zhitian Li; Xudong Zou
Journal:  Sensors (Basel)       Date:  2021-04-23       Impact factor: 3.576

2.  Parameters optimization method for the time-delayed reservoir computing with a nonlinear duffing mechanical oscillator.

Authors:  T Y Zheng; W H Yang; J Sun; X Y Xiong; Z T Li; X D Zou
Journal:  Sci Rep       Date:  2021-01-13       Impact factor: 4.379

  2 in total

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