Modelling of the cylindrical metallic cavity loaded by lossy dielectric slab using neural networks

Author

Milovanovic, Bratislav ; Stankovic, Zoran ; Ivkovic, Sladjana

Author_Institution

Fac. of Electron. Eng., Nis Univ., Serbia

fYear

2000

fDate

2000

Firstpage

141

Lastpage

145

Abstract

In this paper, the loaded cylindrical metallic cavity loaded by lossy dielectric slab is modelled using multilayer perceptron networks. A proper neural model is defined, which includes the dielectric slab losses and is used for modelling of the cavity with circular cross-section when lossy dielectric slab is placed at the bottom of the cavity. An original approach for significantly decreasing neural network training set is suggested. The results obtained show that the suggested approach provides microwave cavity modelling with high accuracy

Keywords

cavity resonators; circuit tuning; dielectric losses; electrical engineering computing; learning (artificial intelligence); microwave devices; multilayer perceptrons; cylindrical metallic cavity; lossy dielectric slab; microwave cavity; mode tuning; modelling; multilayer perceptron; neural networks; training set; Applicators; Dielectric losses; Electromagnetic heating; Geometry; Load modeling; Neural networks; Resonance; Resonant frequency; Slabs; Transmission line matrix methods;

fLanguage

English

Publisher

ieee

Conference_Titel

Neural Network Applications in Electrical Engineering, 2000. NEUREL 2000. Proceedings of the 5th Seminar on

Conference_Location

Belgrade

Print_ISBN

0-7803-5512-1

Type

conf

DOI

10.1109/NEUREL.2000.902402

Filename

902402