Evaluation of Electromagnetic Immunity of Layered Structures by Neural Networks

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F11%3APU88800" target="_blank" >RIV/00216305:26220/11:PU88800 - isvavai.cz</a>

Result on the web

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DOI - Digital Object Identifier

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Result language

angličtina

Original language name

Evaluation of Electromagnetic Immunity of Layered Structures by Neural Networks

Original language description

In this paper, exploitation of artificial neural networks for an efficient solution of a simple electromagnetic compatibility problem is discussed. Two parallel dielectric layers are penetrated by the perpendicular electromagnetic wave. A standing wave is formed between layers. Radial basis function networks are employed to estimate the electric field intensity between the layers for both of the harmonic wave and pulse wave illumination. The electrical parameters of dielectric layers can influence the field distribution inside the investigated structure. Probabilistic neural networks are used to classify parameters of layers related to critical intensities of internal fields. Classification abilities of probabilistic networks are compared with a conventional k-NN method both for a dense training set and a sparse one.

Czech name

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Czech description

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Type

J_x - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

CEP classification

JA - Electronics and optoelectronics

OECD FORD branch

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Project

Result was created during the realization of more than one project. More information in the Projects tab.

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>Z - Vyzkumny zamer (s odkazem do CEZ)<br>S - Specificky vyzkum na vysokych skolach

Publication year

2011

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

IEE PROCEEDINGS-MICROWAVES ANTENNAS AND PROPAGATION

ISSN

1350-2417

e-ISSN

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Volume of the periodical

vol. 5

Issue of the periodical within the volume

2

Country of publishing house

GB - UNITED KINGDOM

Number of pages

7

Pages from-to

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UT code for WoS article

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EID of the result in the Scopus database

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