Yayın: NARX neural networks based time series prediction for amount of airworthiness time
| dc.contributor.author | Tatlı, Ali | |
| dc.contributor.author | Kahvecıoğlu, Sinem | |
| dc.contributor.orcid | 0000-0001-8925-8312 | |
| dc.date.accessioned | 2025-11-13T11:30:19Z | |
| dc.date.issued | 2016-12-01 | |
| dc.identifier.openalex | W2978932004 | |
| dc.identifier.uri | https://hdl.handle.net/11421/7016 | |
| dc.identifier.uri | https://earsiv.anadolu.edu.tr/xmlui/handle/11421/22235 | |
| dc.language.iso | en | |
| dc.relation.ispartof | 2016 National Conference on Electrical, Electronics and Biomedical Engineering (ELECO) | |
| dc.rights | restrictedAccess | |
| dc.subject | Airworthiness | |
| dc.subject | Aviation | |
| dc.subject | Futures studies | |
| dc.subject | Artificial neural network | |
| dc.subject | Engineering | |
| dc.subject | Aeronautics | |
| dc.subject | Computer science | |
| dc.subject | Operations research | |
| dc.subject | Artificial intelligence | |
| dc.subject | Certification | |
| dc.subject | Economics | |
| dc.title | NARX neural networks based time series prediction for amount of airworthiness time | |
| dc.type | Article | |
| dspace.entity.type | Publication | |
| local.authorid.openalex | A5025607664 | |
| local.authorid.openalex | A5015998137 |
