| dc.contributor.author | Fikret Kocabas,Burhan Unal,Serap Unal,Halil Ibrahim Fedakar,Ercan Gemici | |
| dc.date.accessioned | 2023-02-10T13:01:12Z | |
| dc.date.available | 2023-02-10T13:01:12Z | |
| dc.date.issued | 2013 | |
| dc.identifier | 10.1007/s00521-012-1241-6 | |
| dc.identifier.issn | 1433-3058 | |
| dc.identifier.uri | https://dx.doi.org/10.1007/s00521-012-1241-6 | |
| dc.identifier.uri | http://hdl.handle.net/11772/13411 | |
| dc.source | NEURAL COMPUTING & APPLICATIONS | |
| dc.subject | Artificial Intelligence | |
| dc.title | Fuzzy genetic approach for modeling of the critical submergence of an intake | |
| dc.type | Article | |
| dc.identifier.volume | 23 | |
| dc.identifier.issue | 0 | |
