A microstrip patch antenna design based on ANN

In this paper, an artificial neural network (ANN) model is proposed to predict the desired performance of a microstrip patch antenna which works at the center frequency at 10.2 GHz with a 1 GHz frequency bandwidth. In this model, a general methodology for the fitting of the calculated responses with rational function approximations was used in the description of S-parameter, gain, and directivity. In this case, the aforementioned performances of the antenna were replaced by the orders, residuals, and poles of the rational functions. A dataset of the correspondence between the geometrical variables of the microstrip patch antenna and the responses were collected in the state-of-the-art EM-CAD (Electromagnetic computer-aided design) software for training the ANN and further test. A validation was employed to confirm the validity and efficiency of this proposed method.