Full metadata record
| DC pole | Hodnota | Jazyk |
|---|---|---|
| dc.contributor.author | Nocon, Adrian | |
| dc.contributor.author | Paszek, Stefan | |
| dc.contributor.editor | Ulrych, Bohuš | |
| dc.date.accessioned | 2017-04-03T08:26:08Z | |
| dc.date.available | 2017-04-03T08:26:08Z | |
| dc.date.issued | 2007 | |
| dc.identifier.citation | AMTEE ’07 : seventh international conference on Advanced Methods in the Theory of Electrical Engineering : September 10-12, 2007 [Pilsen, Czech Republic]. | en |
| dc.identifier.isbn | 978-80-7043-564-9 | |
| dc.identifier.uri | http://amtee.zcu.cz/AMTEE/ArchivedProceedings/proceedings_AMTEE_2007/data/section_i.html | |
| dc.identifier.uri | http://hdl.handle.net/11025/25807 | |
| dc.format | 4 s. | cs |
| dc.format.mimetype | application/pdf | |
| dc.language.iso | en | en |
| dc.publisher | University of West Bohemia | en |
| dc.rights | © University of West Bohemia | en |
| dc.subject | synchronní generátor | cs |
| dc.subject | neurální model | cs |
| dc.title | Neural model of synchronous generator with nonlinear magnetizing characteristic | en |
| dc.type | konferenční příspěvek | cs |
| dc.type | conferenceObject | en |
| dc.rights.access | openAccess | en |
| dc.type.version | publishedVersion | en |
| dc.description.abstract-translated | The paper presents the proposal of using artificial neural networks for simulation investigations of synchronous generators working as autonomous supply sources. The comparative analysis of the neural model and that based on the synchronous generator R-L parameters is performed. A three-stage hybrid algorithm consisting of genetic, Nelder-Mead and gradient algorithms was applied to learning the artificial neural network. | en |
| dc.subject.translated | synchronous generator | en |
| dc.subject.translated | neural model | en |
| dc.type.status | Peer-reviewed | en |
| Vyskytuje se v kolekcích: | CPEE – AMTEE 2007 CPEE – AMTEE 2007 | |
Soubory připojené k záznamu:
| Soubor | Popis | Velikost | Formát | |
|---|---|---|---|---|
| Nocon.pdf | Plný text | 364,48 kB | Adobe PDF | Zobrazit/otevřít |
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