Zigzag Antenna Design Based on Machine Learning
DOI:
https://doi.org/10.13052/2025.ACES.J.400103Keywords:
Deep neural network, machine learning technique, random search, zigzag antennaAbstract
In this paper, we propose the design of a zigzag antenna using machine learning (ML) techniques. We trained the deep neural network that was to be employed for the ML model using training data, after which we evaluated the maturity of the trained model using mean squared error and R-squared metrics. Next, we utilized random search in conjunction with the trained model to derive a design of the optimal zigzag antenna having good impedance matching characteristics. We then validated the applicability of the ML techniques in antenna design based on the agreement between measured and simulated reflection coefficients.
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References
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