Design and analysis of printed rectangular Microstrip antenna on Ferrite material

The study of Microstrip patch antenna is proposed by using artificial neural network. The geometry modelled for the study is rectangular patch type which will be mounted on ferrite substrate. The artificial neural network is used to study the modelled microstrip antenna by using synthesis and analytical approach. The relation between different parameter and dimensions of micristrip antenna are obtained. The patch dimension which is denoted by (W,L) are dependent of various input variable that can be further divided as resonant frequency(fr), height of dielectric substrate(h) and the dielectric constant of dielectric material(εx, εy). The result which are obtained using artificial neural network for the designed antenna are comparable with the result available in the patch antennas literature, theoretically as well as experimentally. The designed procedure is divided into synthesis and analysis which are forward and reverse side respectively. The designed procedure is used and ANN can be applied to the other geometry of antenna in general approach.