Detail publikačního výsledku

Evaluation of Electromagnetic Immunity of Layered Structures by Neural Networks

KOUDELKA, V.; RAIDA, Z.

Originální název

Evaluation of Electromagnetic Immunity of Layered Structures by Neural Networks

Anglický název

Evaluation of Electromagnetic Immunity of Layered Structures by Neural Networks

Druh

Článek recenzovaný mimo WoS a Scopus

Originální abstrakt

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.

Anglický abstrakt

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.

Klíčová slova

dielectric walls, electromagnetic modeling, feed forward neural network, radial basis functions, probabilistic neural network

Klíčová slova v angličtině

dielectric walls, electromagnetic modeling, feed forward neural network, radial basis functions, probabilistic neural network

Autoři

KOUDELKA, V.; RAIDA, Z.

Rok RIV

2011

Vydáno

21.03.2011

ISSN

1751-8725

Periodikum

IET Microwaves Antennas & Propagation

Svazek

vol. 5

Číslo

4

Stát

Spojené království Velké Británie a Severního Irska

Strany od

482

Strany do

489

Strany počet

7

BibTex

@article{BUT50007,
  author="Vlastimil {Koudelka} and Zbyněk {Raida}",
  title="Evaluation of Electromagnetic Immunity of Layered Structures by Neural Networks",
  journal="IET Microwaves Antennas & Propagation",
  year="2011",
  volume="vol. 5",
  number="4",
  pages="482--489",
  issn="1751-8725"
}