Design of a circularly polarized elliptical patch antenna using artificial neural networks and adaptive neuro-fuzzy inference system

In the present paper, a circularly polarized elliptical patch antenna is designed using artificial neural networks (ANN) and adaptive neuro-fuzzy inference system (ANFIS). The resonant frequency and gain are taken as the input while the radius of semi-major axis and heights of the substrate are taken as the outputs. From the numerical results, it is observed that the errors in the output parameters are less in case of an ANFIS model as compared to that of an ANN model. With ANFIS model, a parametric study with different types and numbers of membership functions is also presented.