Publication detail

Modeling broadband microwave structures by artificial neural networks

RAIDA, Z., LUKEŠ, Z., OTEVŘEL, V.

Original Title

Modeling broadband microwave structures by artificial neural networks

Type

journal article - other

Language

English

Original Abstract

The paper describes the exploitation of feed-forward neural networks and recurrent neural networks for replacing full-wave numerical models of microwave structures in complex microwave design tools. Building a neural model, attention is turned to the modeling accuracy and to the efficiency of building a model. Dealing with the accuracy, we describe a method of increasing it by successive completing a training set. Neural models are mutually compared in order to highlight their advantages and disadvantages. As a reference model for comparisons, approximations based on standard cubic splines are used. Neural models are used to replace both the time-domain numeric models and the frequency-domain ones.

Keywords

Artificial neural networks, frequency-domain finite elements, time-domain method of moments, wire antennas, microwave transmission lines.

Authors

RAIDA, Z., LUKEŠ, Z., OTEVŘEL, V.

RIV year

2004

Released

1. 6. 2004

ISBN

1210-2512

Periodical

Radioengineering

Year of study

13

Number

2

State

Czech Republic

Pages from

3

Pages to

11

Pages count

9

BibTex

@article{BUT42090,
  author="Zbyněk {Raida} and Zbyněk {Lukeš} and Viktor {Otevřel}",
  title="Modeling broadband microwave structures by artificial neural networks",
  journal="Radioengineering",
  year="2004",
  volume="13",
  number="2",
  pages="9",
  issn="1210-2512"
}