| contributor author | M. Erol Keskin | |
| contributor author | Dilek Taylan | |
| date accessioned | 2017-05-08T21:48:28Z | |
| date available | 2017-05-08T21:48:28Z | |
| date copyright | July 2009 | |
| date issued | 2009 | |
| identifier other | %28asce%29he%2E1943-5584%2E0000069.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl/handle/yetl/62932 | |
| description abstract | The aim of this study was to develop an optimum flow prediction method, based on the adaptive neural-based fuzzy inference system (ANFIS) and artificial neural network (ANN). Each methodology was applied to river flow predicting in Manavgat Stream in the southern part of Turkey. In application, Manavgat Stream flows were predicted from Dalaman Stream, Alara Stream, and Göksu Stream flows. Each stream is located in different catchments. For monthly streamflow predictions, data were taken from the General Directorate of Electrical Power Resources Survey and Development Administration. Used data covered a | |
| publisher | American Society of Civil Engineers | |
| title | Artificial Models for Interbasin Flow Prediction in Southern Turkey | |
| type | Journal Paper | |
| journal volume | 14 | |
| journal issue | 7 | |
| journal title | Journal of Hydrologic Engineering | |
| identifier doi | 10.1061/(ASCE)HE.1943-5584.0000051 | |
| tree | Journal of Hydrologic Engineering:;2009:;Volume ( 014 ):;issue: 007 | |
| contenttype | Fulltext | |
