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RAIDA, Z., LUKEŠ, Z., OTEVŘEL, V.
Originální název
Modeling broadband microwave structures by artificial neural networks
Anglický název
Druh
Článek recenzovaný mimo WoS a Scopus
Originální abstrakt
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.
Anglický abstrakt
Klíčová slova
Artificial neural networks, frequency-domain finite elements, time-domain method of moments, wire antennas, microwave transmission lines.
Klíčová slova v angličtině
Autoři
Rok RIV
2011
Vydáno
01.06.2004
ISSN
1210-2512
Periodikum
Radioengineering
Svazek
13
Číslo
2
Stát
Česká republika
Strany od
3
Strany počet
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" }