River Flow Modeling Using Artificial Neural NetworksSource: Journal of Hydrologic Engineering:;2004:;Volume ( 009 ):;issue: 001Author:Özgür Kişi
DOI: 10.1061/(ASCE)1084-0699(2004)9:1(60)Publisher: American Society of Civil Engineers
Abstract: This paper demonstrates the application of artificial neural networks (ANNs) in predicting mean monthly streamflow. The estimation of flow is very important for reservoir operation policy; therefore, in this study, based on the monthly flow data obtained from the Turkey State of Water Works, ANNs have been used to predict river flow. Autoregressive (AR) models have also been applied to the same data. The performance of the neural network is compared with that of the statistical method.
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| contributor author | Özgür Kişi | |
| date accessioned | 2017-05-08T21:23:40Z | |
| date available | 2017-05-08T21:23:40Z | |
| date copyright | January 2004 | |
| date issued | 2004 | |
| identifier other | %28asce%291084-0699%282004%299%3A1%2860%29.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl/handle/yetl/49762 | |
| description abstract | This paper demonstrates the application of artificial neural networks (ANNs) in predicting mean monthly streamflow. The estimation of flow is very important for reservoir operation policy; therefore, in this study, based on the monthly flow data obtained from the Turkey State of Water Works, ANNs have been used to predict river flow. Autoregressive (AR) models have also been applied to the same data. The performance of the neural network is compared with that of the statistical method. | |
| publisher | American Society of Civil Engineers | |
| title | River Flow Modeling Using Artificial Neural Networks | |
| type | Journal Paper | |
| journal volume | 9 | |
| journal issue | 1 | |
| journal title | Journal of Hydrologic Engineering | |
| identifier doi | 10.1061/(ASCE)1084-0699(2004)9:1(60) | |
| tree | Journal of Hydrologic Engineering:;2004:;Volume ( 009 ):;issue: 001 | |
| contenttype | Fulltext |