Intelligent Design Approaches in Microwave Engineering Using Machine Learning Techniques

Year : 2025 | Volume : 12 | Issue : 02 | Page : 31 38
    By

    V. Basil Hans,

  1. Research Professor, Department of Management and Commerce, Srinivas University, Mangalore, Karnataka, India

Abstract

In microwave engineering, machine learning (ML) has become a potent technology allowing quicker design cycles, improved modelling accuracy, and automatic optimisation of complicated systems. Recent developments in the use of ML methods to microwave components and systems, including antennas, filters, and high-frequency circuits, are summarised in this study. In the framework of electromagnetic simulation, surrogate modelling, and parameter extraction, supervised and unsupervised learning algorithms are addressed. Moreover, the study looked at is how ML fits into conventional design processes since it may save computing costs and help systems adapt in real time. The issues of data quality, model interpretation, and generalisation are also discussed. This study emphasises how ML is changing the performance and efficiency of microwave engineering methods. Important elements in microwave engineering are transmission lines (like microstrip and waveguides), passive components (like couplers, power dividers, and filters), and active components (like transistors employed in RF amplifiers). The design and analysis sometimes call for very sophisticated simulation tools and methods, including computational electromagnetics, network theory, and more recently, machine learning, given the complexity of electromagnetic behaviour at these frequencies.

Keywords: Parameter extraction, electromagnetic simulations, data-driven modelling

[This article belongs to Journal of Microwave Engineering and Technologies ]

How to cite this article:
V. Basil Hans. Intelligent Design Approaches in Microwave Engineering Using Machine Learning Techniques. Journal of Microwave Engineering and Technologies. 2025; 12(02):31-38.
How to cite this URL:
V. Basil Hans. Intelligent Design Approaches in Microwave Engineering Using Machine Learning Techniques. Journal of Microwave Engineering and Technologies. 2025; 12(02):31-38. Available from: https://journals.stmjournals.com/jomet/article=2025/view=215487


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Regular Issue Subscription Review Article
Volume 12
Issue 02
Received 12/05/2025
Accepted 13/05/2025
Published 26/06/2025
Publication Time 45 Days
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