| contributor author | Taher Rajaee | |
| contributor author | Vahid Nourani | |
| contributor author | Mohammad Zounemat-Kermani | |
| contributor author | Ozgur Kisi | |
| date accessioned | 2017-05-08T21:48:55Z | |
| date available | 2017-05-08T21:48:55Z | |
| date copyright | August 2011 | |
| date issued | 2011 | |
| identifier other | %28asce%29he%2E1943-5584%2E0000368.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl/handle/yetl/63222 | |
| description abstract | Accurate suspended sediment prediction is an integral component of sustainable water resources and environmental systems. This study considered artificial neural network (ANN), wavelet analysis and ANN combination (WANN), multilinear regression (MLR), and sediment rating curve (SRC) models for daily suspended sediment load ( | |
| publisher | American Society of Civil Engineers | |
| title | River Suspended Sediment Load Prediction: Application of ANN and Wavelet Conjunction Model | |
| type | Journal Paper | |
| journal volume | 16 | |
| journal issue | 8 | |
| journal title | Journal of Hydrologic Engineering | |
| identifier doi | 10.1061/(ASCE)HE.1943-5584.0000347 | |
| tree | Journal of Hydrologic Engineering:;2011:;Volume ( 016 ):;issue: 008 | |
| contenttype | Fulltext | |
