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Research Article |

A Soft Computing Techniques Analysis for Planar Microstrip Antenna for Wireless Communications

Author(s) : K.D. Jyothi1, P. Bala Srinivas2 and S. Kumar3

Published In : International Journal of Electrical and Electronics Research (IJEER)        Volume 10, Issue 3, Special Issue on Recent Advancements in the Electrical & Electronics Engineering

Publisher : FOREX Publication

Published : 10 August 2022

e-ISSN : 2347-470X

Page(s) : 466-469

DOI: https://doi.org/10.37391/IJEER.100310

Abstract

The use of neural-network computational modules for radio frequency and microwave modelling and design has lately gained popularity as an uncommon but useful technique for this type of modelling and design. It is possible to train neural networks to study the behaviour of active and passive mechanisms and circuits. In this study, technologists will learn about what neural networks are and how they can be used to model microstrip patch antennas. An artificial neural network is used in this work to investigate in depth several designs and analysis methodologies for microstrip patch antennas. Various network structures are also discussed in this study for wireless communications. Microstrip antenna design has been presented and the use of ANN in microstrip antenna design are also shown in this article.

Keywords: IANN, Microstrip, Antenna, Wireless Communication




K.D. Jyothi, Department of ECE, Aditya Engineering College, Surampalem, India

P. Bala Srinivas, Department of ECE, Aditya Engineering College, Surampalem, India

S. Kumar, Department of ECE, Aditya Engineering College, Surampalem, India; Email: sanjeev.kumar@aec.edu.in

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K.D. Jyothi, P. Bala Srinivas and S. Kumar (2022), A Soft Computing Techniques Analysis for Planar Microstrip Antenna for Wireless Communications. IJEER 10(3), 466-469. DOI: 10.37391/IJEER.100310.