Yayın: Streamflow Forecasting Using Different Neural Network Models with Satellite Data for a Snow Dominated Region in Turkey
| dc.contributor.author | Uysal, Gökçen | |
| dc.contributor.author | Şorman, A. Ünal | |
| dc.contributor.author | Şensoy, Aynur | |
| dc.contributor.orcid | 0000-0003-0445-060X | |
| dc.contributor.orcid | 0000-0002-7383-6496 | |
| dc.contributor.orcid | 0000-0003-3004-4912 | |
| dc.date.accessioned | 2025-11-13T09:34:41Z | |
| dc.date.issued | 2016-01-01 | |
| dc.identifier.doi | https://doi.org/10.1016/j.proeng.2016.07.526 | |
| dc.identifier.endpage | 1192 | |
| dc.identifier.issn | 1877-7058 | |
| dc.identifier.openalex | W2511553367 | |
| dc.identifier.startpage | 1185 | |
| dc.identifier.uri | https://hdl.handle.net/11421/1544 | |
| dc.identifier.uri | https://doi.org/10.1016/j.proeng.2016.07.526 | |
| dc.identifier.volume | 154 | |
| dc.language.iso | en | |
| dc.relation.ispartof | Procedia Engineering | |
| dc.rights | openAccess | |
| dc.subject | Overfitting | |
| dc.subject | Streamflow | |
| dc.subject | Artificial neural network | |
| dc.subject | Snow | |
| dc.subject | Computer science | |
| dc.subject | Multilayer perceptron | |
| dc.subject | Data set | |
| dc.subject | Snowmelt | |
| dc.subject | Perceptron | |
| dc.subject | Radial basis function | |
| dc.subject | Satellite | |
| dc.subject | Meteorology | |
| dc.subject | Environmental science | |
| dc.subject | Data mining | |
| dc.subject | Remote sensing | |
| dc.subject | Artificial intelligence | |
| dc.subject | Drainage basin | |
| dc.subject | Geology | |
| dc.subject | Geography | |
| dc.subject | Engineering | |
| dc.subject | Cartography | |
| dc.subject.sdg | 13 | |
| dc.title | Streamflow Forecasting Using Different Neural Network Models with Satellite Data for a Snow Dominated Region in Turkey | |
| dc.type | Article | |
| dspace.entity.type | Publication | |
| local.authorid.openalex | A5078622830 | |
| local.authorid.openalex | A5041083905 | |
| local.authorid.openalex | A5011287401 |
