Modelling Twin Rotor System With Artificial Neural Networks
| dc.contributor.author | Deniz, Meryem | |
| dc.contributor.author | Bıdıklı, Barış | |
| dc.contributor.author | Bayrak, Alper | |
| dc.contributor.author | Özdemirel, Barbaros | |
| dc.contributor.author | Tatlıcıoğlu, Enver | |
| dc.contributor.other | 03.05. Department of Electrical and Electronics Engineering | |
| dc.contributor.other | 03. Faculty of Engineering | |
| dc.contributor.other | 01. Izmir Institute of Technology | |
| dc.date.accessioned | 2021-01-24T18:31:42Z | |
| dc.date.available | 2021-01-24T18:31:42Z | |
| dc.date.issued | 2015 | |
| dc.description | 23nd Signal Processing and Communications Applications Conference (SIU) | en_US |
| dc.description.abstract | In this study, the input output relation of the twin rotor system which was constructed in our laboratory is obtained by using ANNs. When compared with the existing literature, main advantage of this modelling approach is that multi input multi output ANN structure is used preferred. As a result of this approach, the cross coupling effects, between the rotors and also between the outputs, are taken into consideration. Thus, we sincerely believe that the obtained input output model demonstrates a close behavior to the real system. | en_US |
| dc.description.sponsorship | Dept Comp Engn & Elect & Elect Engn, Elect & Elect Engn, Bilkent Univ | en_US |
| dc.identifier.isbn | 9781467373869 | |
| dc.identifier.issn | 2165-0608 | |
| dc.identifier.scopus | 2-s2.0-84939167369 | |
| dc.identifier.uri | https://hdl.handle.net/11147/9929 | |
| dc.language.iso | tr | en_US |
| dc.publisher | Institute of Electrical and Electronics Engineers Inc. | en_US |
| dc.relation.ispartof | 2015 23rd Signal Processing and Communications Applications Conference, SIU 2015 - Proceedings | en_US |
| dc.relation.ispartofseries | Signal Processing and Communications Applications Conference | |
| dc.rights | info:eu-repo/semantics/closedAccess | en_US |
| dc.subject | Artificial neural network | en_US |
| dc.subject | Twin rotor system | en_US |
| dc.subject | Modelling | en_US |
| dc.title | Modelling Twin Rotor System With Artificial Neural Networks | en_US |
| dc.type | Conference Object | en_US |
| dspace.entity.type | Publication | |
| gdc.author.institutional | Tatlıcıoğlu, Enver | |
| gdc.author.institutional | Deniz, Meryem | |
| gdc.author.institutional | Bıdıklı, Barış | |
| gdc.author.institutional | Özdemirel, Barbaros | |
| gdc.author.institutional | Bayrak, Alper | |
| gdc.author.institutional | Tatlıcıoğlu, Enver | |
| gdc.author.institutional | Özdemirel, Barbaros | |
| gdc.coar.access | metadata only access | |
| gdc.coar.type | text::conference output | |
| gdc.description.department | İzmir Institute of Technology. Electrical and Electronics Engineering | en_US |
| gdc.description.departmenttemp | [Deniz, Meryem; Bidikli, Baris; Ozdemirel, Barbaros; Tatlicioglu, Enver] Izmir Yuksek Teknol Enstitusu, Elekt & Haberlesme Muhendisligi Bolumu, Izmir, Turkey; [Bayrak, Alper] Abant Izzet Baysal Univ, Elekt & Elekt Muhendisligi Bolumu, Bolu, Turkey | en_US |
| gdc.description.endpage | 1165 | en_US |
| gdc.description.publicationcategory | Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı | en_US |
| gdc.description.startpage | 1162 | en_US |
| gdc.identifier.wos | WOS:000380500900271 | |
| gdc.scopus.citedcount | 1 | |
| gdc.wos.citedcount | 0 | |
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