Simple model for quantum-dot semiconductor optical amplifiers using artificial neural networks

Author

Ababneh, Jehad I. ; Qasaimeh, Omar

Author_Institution

Dept. of Electr. Eng., Jordan Univ. of Sci. & Technol., Irbid

Volume

53

Issue

7

fYear

2006

fDate

7/1/2006 12:00:00 AM

Firstpage

1543

Lastpage

1550

Abstract

A simple, accurate, and fast multilayer feedforward artificial neural network (ANN) model for quantum-dot semiconductor optical amplifiers (QD-SOAs) is developed. The developed ANN model has demonstrated excellent precision and accurately models the physical characteristics of QD-SOAs such as pulse amplification and four-wave mixing characteristics. Furthermore, the developed ANN model requires a very small computational time compared with numerical models, which is very attractive for computer-aided-design applications. The model is used to create very interesting design curves for QD-SOAs. In addition, the model is suitable for physical-parameter extraction from available measured data

Keywords

electronic engineering computing; feedforward neural nets; multiwave mixing; semiconductor optical amplifiers; semiconductor quantum dots; ANN model; four-wave mixing; multilayer feedforward artificial neural network; optical gain; physical-parameter extraction; pulse amplification; quantum dot semiconductor optical amplifiers; Application software; Artificial neural networks; Computer applications; Four-wave mixing; Multi-layer neural network; Numerical models; Optical pulses; Pulse amplifiers; Quantum dots; Semiconductor optical amplifiers; Artificial neural network (ANN); modeling; optical gain; quantum-dot (QD) amplifiers;

fLanguage

English

Journal_Title

Electron Devices, IEEE Transactions on

Publisher

ieee

ISSN

0018-9383

Type

jour

DOI

10.1109/TED.2006.875803

Filename

1643486