Artificial Neural Network (ANN) to Design Microstrip Transmission Line

Mohammad Ahmad Ansari,Poonam Agarwal,Krishnan Rajkumar

doi:10.1007/978-981-15-4992-2_3

Artificial Neural Network (ANN) to Design Microstrip Transmission Line

Mohammad Ahmad Ansari, Poonam Agarwal + Show 1 more

https://doi.org/10.1007/978-981-15-4992-2_3

Copy DOI

Publication Date: Jul 2, 2020

Citations: 1

Affiliation: Jawaharlal Nehru University

#Artificial Neural Network Model #Artificial Neural Network Prediction Model + Show 8 more

Abstract
Full-Text PDF
Similar Papers

Abstract

In this paper, an artificial neural network (ANN)-based prediction model has been demonstrated to analyse microstrip transmission line (MTL) for the characteristic impedance, Z0. The ANN prediction model will overcome the time and effort required to design MTL using costly radio frequency (RF) software tools. The ANN model has been developed using feed forward back propagation (F-F B-P) algorithm with three hidden layers and optimized by gradient descent (GD) optimizer. ANN model has been developed on the dataset built using analytical formulation. The training, validation and test error obtained for the model are \( 7.197 \times 10^{ - 5} \), \( 6.189 \times 10^{ - 5} \) and 0.66, respectively, demonstrating high accuracy.

Full Text