ANN based optimization of resonating frequency of split ring resonator

It has been found that resonating frequency of split ring resonator depends on its physical dimension of the split structure such as width, gap and radius. The best possible combinations of all such physical parameters provide the proper resonating frequency over which the metamaterial property of the structure can be obtained. Artificial Neural Network (ANN) is found to be one of the popular solutions for optimization and prediction issues. In this paper, we report the development of an ANN based soft computational framework for designing a circular split ring resonator for wireless application. Here, a trained Multi Layered Perceptron (MLP) ANN is used for optimizing the best possible combination of physical dimension for determining the resonate behavior of a split ring resonator (SRR) for antenna design.