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Evaluation of total load sediment transport formulas using ANN |
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| Authors: | Chih Ted YANG Reza MARSOOLI Mohammad Taghi AALAMI Borl Prof. of Water Resources Colorado State University Fort Collins CO U.S.A. Graduate student of Civil-Hydraulics Engineering University of Tabriz Iran Assist. Prof. of Civil-Hydraulics Engineering Iran |
| Affiliation: | Chih Ted YANG1,Reza MARSOOLI2,and Mohammad Taghi AALAMI31 Borland Prof. of Water Resources,Colorado State University,Fort Collins,CO 80523,U.S.A. 2 Graduate student of Civil-Hydraulics Engineering,University of Tabriz,Iran 3 Assist. Prof. of Civil-Hydraulics Engineering,Iran |
| Abstract: | The calculated results from various sediment transport formulas often differ from each other and from measured data. Some parameters in the sediment transport formulas are more effective than others to estimate total sediment load. In this study, an Artificial Neural Network (ANN) model is trained using four dominant parameters of sediment transport formulas. ANN models are able to reveal hidden laws of natural phenomena such as sediment transport process. The results of ANN and some total bed material load... |
| Keywords: | Artificial Neural Network (ANN) Total bed material load Sediment transport formulas |
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