HYBRID EMPIRICAL-NEURAL MODEL OF LOADED MICROWAVE CYLINDRICAL CAVITY
Author(s) -
Zoran StankoviÄ,
Bratislav MilovanoviÄ,
Nebojša Dončov
Publication year - 2008
Publication title -
electromagnetic waves
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.437
H-Index - 89
eISSN - 1559-8985
pISSN - 1070-4698
DOI - 10.2528/pier08051503
Subject(s) - microwave , microwave cavity , artificial neural network , materials science , acoustics , physics , computer science , telecommunications , artificial intelligence
A hybrid empirical-neural (HEN) model, to account for a loading effect of arbitrary raised dielectric slab in a microwave cylindrical metallic cavity, is presented. It is based on combination of an approximate model, as a rough empirical knowledge holder, and multi-layer perceptrons (MLP) neural network. In comparison with the model based only on MLP network, more accurate and efficient resonant frequencies calculation is achieved.
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