Modeling Broadband Microwave Structures by Artificial Neural Networks
| dc.contributor.author | Raida, Zbynek | |
| dc.contributor.author | Lukes, Zbynek | |
| dc.contributor.author | Otevrel, Viktor | |
| dc.coverage.issue | 2 | cs |
| dc.coverage.volume | 13 | cs |
| dc.date.accessioned | 2016-04-26T11:03:21Z | |
| dc.date.available | 2016-04-26T11:03:21Z | |
| dc.date.issued | 2004-06 | cs |
| dc.description.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. | en |
| dc.format | text | cs |
| dc.format.extent | 3-11 | cs |
| dc.format.mimetype | application/pdf | en |
| dc.identifier.citation | Radioengineering. 2004, vol. 13, č. 2, s. 3-11. ISSN 1210-2512 | cs |
| dc.identifier.issn | 1210-2512 | |
| dc.identifier.uri | http://hdl.handle.net/11012/58044 | |
| dc.language.iso | en | cs |
| dc.publisher | Společnost pro radioelektronické inženýrství | cs |
| dc.relation.ispartof | Radioengineering | cs |
| dc.relation.uri | http://www.radioeng.cz/fulltexts/2004/04_02_03_11.pdf | cs |
| dc.rights | Creative Commons Attribution 3.0 Unported License | en |
| dc.rights.access | openAccess | en |
| dc.rights.uri | http://creativecommons.org/licenses/by/3.0/ | en |
| dc.subject | Artificial neural networks | en |
| dc.subject | frequency-domain finite elements | en |
| dc.subject | time-domain method of moments | en |
| dc.subject | wire an-tennas | en |
| dc.subject | microwave transmission lines | en |
| dc.title | Modeling Broadband Microwave Structures by Artificial Neural Networks | en |
| dc.type.driver | article | en |
| dc.type.status | Peer-reviewed | en |
| dc.type.version | publishedVersion | en |
| eprints.affiliatedInstitution.faculty | Fakulta eletrotechniky a komunikačních technologií | cs |
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