Prediction performance of reservoir computing system based on a semiconductor laser subject to double optical feedback and optical injection
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 syst...
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| Published in | Optics express Vol. 26; no. 8; p. 10211 |
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| Main Authors | , , , , , , , |
| Format | Journal Article |
| Language | English |
| Published |
United States
16.04.2018
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| Online Access | Get full text |
| ISSN | 1094-4087 1094-4087 |
| DOI | 10.1364/OE.26.010211 |
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| 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%. |
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| AbstractList | 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%.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%. 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%. |
| Author | Wang, Dan Wu, ZhengMao Jiang, ZaiFu Hu, ChunXia Jayaprasath, Elumalai Hou, YuShuang Xia, GuangQiong Yang, WenYan |
| Author_xml | – sequence: 1 givenname: YuShuang surname: Hou fullname: Hou, YuShuang – sequence: 2 givenname: GuangQiong surname: Xia fullname: Xia, GuangQiong – sequence: 3 givenname: WenYan surname: Yang fullname: Yang, WenYan – sequence: 4 givenname: Dan surname: Wang fullname: Wang, Dan – sequence: 5 givenname: Elumalai surname: Jayaprasath fullname: Jayaprasath, Elumalai – sequence: 6 givenname: ZaiFu surname: Jiang fullname: Jiang, ZaiFu – sequence: 7 givenname: ChunXia surname: Hu fullname: Hu, ChunXia – sequence: 8 givenname: ZhengMao surname: Wu fullname: Wu, ZhengMao |
| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/29715961$$D View this record in MEDLINE/PubMed |
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