Modeling of PN Junction Diode Using Neural Networks and Genetic Algorithm.

Authors

Mohamed Yakout, Electronics & Communications Department., Faculty of Engineering., El-Mansoura University., Mansoura., Egypt.
Abdelfattah Abdelfattah, Electronics & Communications Department., Faculty of Engineering., El-Mansoura University., Mansoura., Egypt.
Ayman Elbazz, Electronics & Communications Department., Faculty of Engineering., El-Mansoura University., Mansoura., Egypt.

Corresponding Author

Yakout, Mohamed

Subject Area

Electronics and Communication Engineering

Article Type

Original Study

Abstract

The trend of modeling electronic devices using neural network is a new research area. The use of that neural network model to analyze electronic circuits is a promising new technique in the filed of circuits analysis. The availability of modeling PN junction diode has been carried out using neural networks. The introduced model covers the operation of the PN junction in forward bias over a wide range of temperatures. The neural network is used to model the PN junction employing the genetic algorithm as a learning tool. The proposed technique is faster due to the use of parallel operation from both neural networks and genetic algorithm. Moreover, its results are very accurate.

Recommended Citation

Yakout, Mohamed; Abdelfattah, Abdelfattah; and Elbazz, Ayman (2021) "Modeling of PN Junction Diode Using Neural Networks and Genetic Algorithm.," Mansoura Engineering Journal: Vol. 24 : Iss. 4 , Article 2.
Available at: https://doi.org/10.21608/bfemu.2021.148719