June 22, 2024
Abbas Rezaei

Abbas Rezaei

Academic rank: Assistant professor
Address:
Education: Ph.D in Electrical engineering
Phone: 083-38305001
Faculty: Faculty ofٍٍ Electrical Engineering

Research

Title
Modeling of relative intensity noise and terminal electrical noise of semiconductor lasers using artificial neural network
Type Article
Keywords
Researchers Abbas Rezaei، Leila Nouri

Abstract

In this paper, artificial neural network (ANN) is used to predict the source laser’s relative intensity noise (RIN) and the terminal electrical noise (TEN) of semiconductor lasers. For this purpose, the multi-layer perceptron (MLP) neural network trained with the back propagation algorithm is used. To develop this model, the normalized bias current and frequency are selected as the input parameters and the RIN and TEN of semiconductor lasers are selected as the output parameters. The obtained results show that the proposed ANN model is in a good agreement with the numerical method, and a small error between the predicted values and the numerical solution is obtained. Therefore, the proposed ANN model is a useful, reliable, fast and cheap tool to predict the RIN and TEN of semiconductor lasers.