{"title":"基于极限学习机的量子点激光器双态发射动态响应预测","authors":"Wild F. S. Santos, E. Filho, G. Thé","doi":"10.1109/NUSOD52207.2021.9541499","DOIUrl":null,"url":null,"abstract":"Dual-state emission is an phenomenon which takes place in Quantum Dot Lasers at different temperature and operating conditions. In this study, we investigate that issue from a nonlinear regression model based on Extreme Learning Machine, which revealed to be able to predict the spectrally resolved transient response of InAs/InGaAs quantum dot laser with error performance as low as 0.54%.","PeriodicalId":6780,"journal":{"name":"2021 International Conference on Numerical Simulation of Optoelectronic Devices (NUSOD)","volume":"9 1","pages":"143-144"},"PeriodicalIF":0.0000,"publicationDate":"2021-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Dynamic Response Prediction of Bi-State Emission of Quantum Dot Lasers Based on Extreme Learning Machine\",\"authors\":\"Wild F. S. Santos, E. Filho, G. Thé\",\"doi\":\"10.1109/NUSOD52207.2021.9541499\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Dual-state emission is an phenomenon which takes place in Quantum Dot Lasers at different temperature and operating conditions. In this study, we investigate that issue from a nonlinear regression model based on Extreme Learning Machine, which revealed to be able to predict the spectrally resolved transient response of InAs/InGaAs quantum dot laser with error performance as low as 0.54%.\",\"PeriodicalId\":6780,\"journal\":{\"name\":\"2021 International Conference on Numerical Simulation of Optoelectronic Devices (NUSOD)\",\"volume\":\"9 1\",\"pages\":\"143-144\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-09-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 International Conference on Numerical Simulation of Optoelectronic Devices (NUSOD)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/NUSOD52207.2021.9541499\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 International Conference on Numerical Simulation of Optoelectronic Devices (NUSOD)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/NUSOD52207.2021.9541499","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Dynamic Response Prediction of Bi-State Emission of Quantum Dot Lasers Based on Extreme Learning Machine
Dual-state emission is an phenomenon which takes place in Quantum Dot Lasers at different temperature and operating conditions. In this study, we investigate that issue from a nonlinear regression model based on Extreme Learning Machine, which revealed to be able to predict the spectrally resolved transient response of InAs/InGaAs quantum dot laser with error performance as low as 0.54%.