Title :
Artificial neural network for the noise characteristics of laser modeling
Author :
Li, Jiu-sheng ; Bao, Zhen-Wu
Author_Institution :
Sch. of Electron. & Inf. Eng., Tianjin Univ., China
Abstract :
Through the research of rate equation with Langevin noise of laser, the artificial neural network model for the characteristics of the noise of laser is developed. The value of theoretical calculation is used to provide training and testing samples for the artificial neural network model, then, the noise of laser can be analyzed using the trained neural network. The results of simulation and design are well agreed with those of numerical calculation. The method has the advantages of reliability, accuracy, time saving and high efficiency.
Keywords :
laser noise; laser theory; learning (artificial intelligence); neural nets; numerical analysis; Langevin noise; artificial neural network model; laser modeling; neural network training; noise characteristics; numerical analysis; Artificial neural networks; High speed optical techniques; Laser modes; Laser noise; Nonlinear optics; Optical devices; Optical noise; Optical saturation; Semiconductor device noise; Semiconductor lasers;
Conference_Titel :
Machine Learning and Cybernetics, 2004. Proceedings of 2004 International Conference on
Print_ISBN :
0-7803-8403-2
DOI :
10.1109/ICMLC.2004.1378590
