Journal of Physical Chemistry & Biophysics
Open Access

Prediction of gain and excess noise factor for avalanche photodetector using multilayer perceptron neural network

International Conference and Trade fair on Laser Technology

July 20-22, 2015 Orlando, Florida, USA

Sara Fadaei

Scientific Tracks Abstracts: J Phys Chem Biophys

Abstract :

In this paper, we predict gain and excess noise factor for different avalanche photodetectors using multilayer perceptron neural network. We assume the most important factors such as bias voltage, length, type and doping concentration of absorption and multiplication regions, as the inputs of network. Also, gain and excess noise are outputs. After training, we apply the test patterns to network and compare outputs with experimental results. Finally, we consider behavior of excess noise for different values in input parameters, such as length of absorption and multiplication regions.

Biography :

Sara Fadaei has completed her Master Science of Electrical engineering at the age of 28 years from Islamic Azad university of Bushehr and B.Eng Telecommunication Engineering from Islamic Azad university of Najafabad. She is the Project Co-ordinator at Khuzestan regional electric company in Iran. She has published 4 papers in reputed journal and conferances.