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http://repositorio.ufc.br/handle/riufc/70634| Type: | Artigo de Evento |
| Title: | Dynamic response prediction of bi-state emission of quantum dot lasers based on extreme learning machine |
| Authors: | Santos, Wild Freitas da Silva Simas Filho, Eduardo Furtado de Thé, George André Pereira |
| Keywords: | Quantum dot laser;Optical filters;Extreme learning machine;Multilayer perceptron |
| Issue Date: | 2021 |
| Publisher: | International Conference on Numerical Simulation of Optoelectronic Devices |
| Citation: | 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 |
| Appears in Collections: | DETE - Trabalhos apresentados em eventos |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 2021_eve_gapthe.pdf | 1,22 MB | Adobe PDF | View/Open |
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