半导体激光器调制特性的人工神经网络仿真

Artifical Neural Network Modeling of the Modulation Characteristics of Semiconductor Laser

对半导体激光器调制特性进行了理论分析,通过研究半导体激光器调制特性的速率方程,推导了调制特性的解析表达式。用广义回归神经网络建立了激光器调制特性的神经网络模型,通过训练好的神经网络模型对激光器调制特性进行了深入分析,并对激光器结构进行了仿真设计。模型输出结果与理论分析的结果相吻合,且该方法具有速度快、精度高、重复性好等优点。研究结果表明,利用神经网络模型可以对半导体激光器性能进行分析,并确定半导体激光器的一些结构尺寸。

Elaborate theory 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. By using the general regression neural network, a neural network model of the modulation characteristics of semiconductor laser is developed. Then, the modulation characteristics of semiconductor laser are analyzed and a semiconductor 1aser is designed through the trained neural network model. The simulation results are well agreed with the theoretical analysis results. Furthermore, this method has the advantages of high speed, high accuracy, good repeatability, etc. The results of research show that the characteristics of semiconductor laser can be analyzed and the some dimensions of semiconductor laser structure can be obtained using the neural network model.