Thé G. A. P.

Teleinformatics Engineering Program (PPGETI) Federal University of Ceara (UFC), Fortaleza, Brazil


MM05–Dynamic Response Prediction of Bi-State Emission of Quantum Dot Lasers Based on Extreme Learning Machine

Santos W.F.S., Simas Filho E. F., Thé G. A. P.

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 […]