Optimization of sediment rating curve coefficients using evolutionary algorithms and unsupervised artificial neural network
Sediment rating curve (SRC) is a conventional and a common regression model in estimating suspended sediment load (SSL) of flow discharge. However, in most cases the data log-transformation in SRC models causing a bias which underestimates SSL prediction. In this study, using the daily stream flo...
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| פורמט: | Article |
| שפה: | English |
| יצא לאור: |
University of Guilan
2017-09-01
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| סדרה: | Caspian Journal of Environmental Sciences |
| נושאים: | |
| גישה מקוונת: | https://cjes.guilan.ac.ir/article_2665.html |