Dynamic Response Prediction of Bi-State Emission of Quantum Dot Lasers Based on Extreme Learning Machine

Autor:	Wild F. S. Santos, Eduardo F. Simas Filho, George A. P. The
Rok vydání:	2021
Předmět:	Physics Quantum dot laser business.industry Optoelectronics Stimulated emission Transient response State (computer science) Condensed Matter::Mesoscopic Systems and Quantum Hall Effect Optical filter business Nonlinear regression Stationary state Extreme learning machine
Zdroj:	2021 International Conference on Numerical Simulation of Optoelectronic Devices (NUSOD).
DOI:	10.1109/nusod52207.2021.9541499
Popis:	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%.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::2a5d173c9c96ffffa16935c25ce6e95c https://doi.org/10.1109/nusod52207.2021.9541499 Zobrazit plný text záznamu