Title :
Modeling of the cylindrical metallic cavity with circular cross-section using neural networks
Author :
Milovanovic, Bratislav ; Stankovic, Zoran ; Ivkovic, Sladjana
Author_Institution :
Fac. of Electron. Eng., Nis Univ., Yugoslavia
Abstract :
In this paper, a loaded cylindrical metallic cavity with circular cross-section is modeled using classical multi-layer perception (MLP) network. The load in the form of a homogeneous dielectric slab with losses located on the bottom of the cavity is considered. Several training approaches of the neural model are applied, where an original approach for decreasing the neural network training set is used. The obtained results are discussed and compared. Also, the modeling results are experimentally verified.
Keywords :
cavity resonators; electrical engineering computing; multilayer perceptrons; MLP; circular cross-section; classical multi-layer perception; homogeneous dielectric slab; loaded cylindrical metallic cavity; neural network training set; neural networks; Applicators; Dielectric losses; Dielectric materials; Electromagnetic heating; Load modeling; Multi-layer neural network; Neural networks; Resonance; Resonant frequency; Slabs;
Conference_Titel :
Electrotechnical Conference, 2000. MELECON 2000. 10th Mediterranean
Print_ISBN :
0-7803-6290-X
DOI :
10.1109/MELCON.2000.879967
