Artificial neural networks for the resonant resistance calculation of electrically thin and thick rectangular microstrip antennas

A new method for calculating the resonant resistance of electrically thin and thick rectangular microstrip path antennas, based on the artificial neural networks, is presented. The four learning algorithms, the backpropagation, the delta-bar-delta, the quick propagation, and the extended-delta-bar-delta, are used to train the networks. The theoretical resonant resistance results obtained by using this method are in very good agreement with the experimental results available in the literature