Abstract
This paper presents a deep neural network to predict the design parameters of an inset-fed rectangular shaped microstrip patch antenna. A multilayer perceptron based deep neural network has been proposed to predict the resonant frequency and gain values of antenna. Using five hidden layers and mini-batch gradient descent model the presented network converged closely with 1.30% and 1.56% mean absolute percentage errors compared with simulated frequency and gain values respectively of validation dataset. Hence the designed model can be used to determine resonant frequency and gain of inset-fed rectangular shaped microstrip patch antenna with any given dimensions.
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