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

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2 Author(s)
Ababneh, J.I. ; Dept. of Electr. Eng., Jordan Univ. of Sci. & Technol., Irbid ; Qasaimeh, O.

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

Published in:

Electron Devices, IEEE Transactions on  (Volume:53 ,  Issue: 7 )