Microwave cylindrical cavity applicator modeling using hybrid empirical neural model

In this paper, the loaded cylindrical metallic cavity with circular cross-section is modeled using a new hybrid empirical neural (HEN) model. The load in the form of a homogeneous dielectric slab with losses located on the bottom of the cavity is considered. The appropriate HEN model is investigated in which knowledge about resonant frequency behavior defined in the approximate approach (B. Milovanovic et al., J. Microwave Power and EM Energy, vol. 33, no. 1, pp. 49-55, 1999) is integrated. For comparison, the considered cavity is also modeled using a classical multilayer perceptron (MLP) network. For the same training set, the appropriate MLP model giving the best results is investigated. The accuracy of both models as well as the advantage of using the HEN model is illustrated through the example of the TM/sub 112/ mode.