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All Journal International Journal of Advances in Applied Sciences
P Soni Reddy
University of Kalyani
Earth & Planetary Sciences Environmental Science Materials Science & Nanotechnology Mathematics Physics

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Design of frequency selective surface comprising of dipoles using artificial neural network Monojit Rudra; P Soni Reddy; Rajatsubhra Chakraborty; Partha Pratim Sarkar
International Journal of Advances in Applied Sciences Vol 9, No 4: December 2020
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (635.959 KB) | DOI: 10.11591/ijaas.v9.i4.pp276-283

Abstract

This paper depicts the design of Frequency Selective Surface (FSS) comprising of dipoles using Artificial Neural Network (ANN). It has been observed that with the change of the dimensions and periodicity of FSS, the resonating frequency of the FSS changes. This change in resonating frequency has been studied and investigated using simulation software. The simulated data were used to train the proposed ANN models. The trained ANN models are found to predict the FSS characteristics precisely with negligible error. Compared to traditional EM simulation softwares (like ANSOFT Designer), the proposed technique using ANN models is found to significantly reduce the FSS design complexity and computational time. The FSS simulations were made using ANSOFT Designer v2 software and the neural network was designed using MATLAB software.
Co-Authors Monojit Rudra Partha Pratim Sarkar Rajatsubhra Chakraborty