Publication detail

Broadband Modeling of Planar Transmission Lines by Elman Neural Network

RAIDA, Z.

Original Title

Broadband Modeling of Planar Transmission Lines by Elman Neural Network

English Title

Broadband Modeling of Planar Transmission Lines by Elman Neural Network

Type

conference paper

Language

en

Original Abstract

In the paper, exploitation of Elman neural network for broadband modeling of a shielded microstrip transmission line in layered media is discussed. The structure is numerically modeled by finite-element method. The numerical model acts as a teacher for Elman neural network representing the behavior of the structure. Elman neural model is compared to a feed-forward neural one from the point of view of accuracy, approximation abilities, CPU-time demands and elaborateness of the development.

English abstract

In the paper, exploitation of Elman neural network for broadband modeling of a shielded microstrip transmission line in layered media is discussed. The structure is numerically modeled by finite-element method. The numerical model acts as a teacher for Elman neural network representing the behavior of the structure. Elman neural model is compared to a feed-forward neural one from the point of view of accuracy, approximation abilities, CPU-time demands and elaborateness of the development.

Keywords

Elman neural network, finite element method, planar transmission lines

Released

07.05.2003

Publisher

Ústav radioelektroniky, FEKT VUT v Brně

Location

Brno

ISBN

80-214-2383-8

Book

Proceedings of Radioelektronika 2003

Edition number

1.

Pages from

268

Pages to

271

Pages count

4

BibTex


@inproceedings{BUT7271,
  author="Zbyněk {Raida}",
  title="Broadband Modeling of Planar Transmission Lines by Elman Neural Network",
  annote="In the paper, exploitation of Elman neural network for broadband modeling of a shielded microstrip transmission line in layered media is discussed. The structure is numerically modeled by finite-element method. The numerical model acts as a teacher for Elman neural network representing the behavior of the structure. Elman neural model is compared to a feed-forward neural one from the point of view of accuracy, approximation abilities, CPU-time demands and elaborateness of the development.",
  address="Ústav radioelektroniky, FEKT VUT v Brně",
  booktitle="Proceedings of Radioelektronika 2003",
  chapter="7271",
  institution="Ústav radioelektroniky, FEKT VUT v Brně",
  year="2003",
  month="may",
  pages="268",
  publisher="Ústav radioelektroniky, FEKT VUT v Brně",
  type="conference paper"
}