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http://repositorio.ufc.br/handle/riufc/70634| Tipo: | Artigo de Evento |
| Título : | Dynamic response prediction of bi-state emission of quantum dot lasers based on extreme learning machine |
| Autor : | Santos, Wild Freitas da Silva Simas Filho, Eduardo Furtado de Thé, George André Pereira |
| Palabras clave : | Quantum dot laser;Optical filters;Extreme learning machine;Multilayer perceptron |
| Fecha de publicación : | 2021 |
| Editorial : | International Conference on Numerical Simulation of Optoelectronic Devices |
| Citación : | SANTOS, W. F. S.; SIMAS FILHO, E. F.; THÉ, G. A. P. Dynamic response prediction of bi-state emission of quantum dot lasers based on extreme learning machine. In: INTERNATIONAL CONFERENCE ON NUMERICAL SIMULATION OF OPTOELECTRONIC DEVICES, 2021, Turin. Anais... Turin: IEEE, 2021. p. 143-144. |
| 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%. |
| URI : | http://www.repositorio.ufc.br/handle/riufc/70634 |
| Aparece en las colecciones: | DETE - Trabalhos apresentados em eventos |
Ficheros en este ítem:
| Fichero | Descripción | Tamaño | Formato | |
|---|---|---|---|---|
| 2021_eve_gapthe.pdf | 1,22 MB | Adobe PDF | Visualizar/Abrir |
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