Forward-inverse-hybrid modeling of microstrip antennas using decision tree-based machine learning algorithms for space communication

This article presents a machine learning (ML) framework for forward, inverse, and hybrid modeling in electromagnetic problems, focusing on single-, dual-, and four-port notched microstrip antennas used in satellite environments. These antennas exhibit maximum notched frequencies of 4.2 GHz, 6 GHz, a...

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Bibliographic Details

Published in:	International journal of electronics and communications Vol. 191; p. 155662
Main Authors:	Kumar, Anjani, Khan, Taimoor, Sarkar, Debanjali
Format:	Journal Article
Language:	English
Published:	Elsevier GmbH 01.02.2025
Subjects:	AdaBoost And random forest regression Binary decision tree Machine learning MIMO microstrip antenna Satellite environment Binary decision tree And random forest regression AdaBoost Satellite environment MIMO microstrip antenna Machine learning
ISSN:	1434-8411
Online Access:	Get full text
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