Support vector design of the microstrip antenna

In this work, support vector machine (SVM) formulation based upon ldquoNrdquo measured data is worked out for the resonant frequency, operation bandwidth, input impedance of a rectangular microstrip antenna. Results of the formulation are compared with the theoretical results obtained in literature, much better characterisation is observed with greater accuracy. At the same time, artificial neural network (ANN) is employed in generalization of the data on the resonant frequency, operation bandwidth, input impedance of the antenna. Performances of the two advanced nonlinear learning machines are compared and superiority of the SVM is verified.