Generalized regression neural network model and design for the modulation characteristics of DFB laser

Jiusheng Li; Zhenwu Bao

doi:10.1117/12.571160

20 January 2005 Generalized regression neural network model and design for the modulation characteristics of DFB laser

Jiusheng Li, Zhenwu Bao

Proceedings Volume 5628, Semiconductor Lasers and Applications II; (2005) https://doi.org/10.1117/12.571160
Event: Photonics Asia, 2004, Beijing, China

Abstract

Elaborate theoretical analysis has been done for the modulation characteristics of semiconductor 1aser and analytical expression has been deduced through the research of rate equation of semiconductor 1aser. A neural network model analyzing of the modulation characteristics of semiconductor laser is developed. Using the model, we find that the simulation result is well agreed with theoretical analysis result. Furthermore, a semiconductor 1aser is design by the model. The research shows that the method has significant direction for the design of semiconductor 1aser.

Citation Download Citation

Jiusheng Li and Zhenwu Bao "Generalized regression neural network model and design for the modulation characteristics of DFB laser", Proc. SPIE 5628, Semiconductor Lasers and Applications II, (20 January 2005); https://doi.org/10.1117/12.571160

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