Estimation of River Ice Thickness Using Artificial Neural Networks
نویسندگان
چکیده
The purpose of this study is to assess the ability of the artificial neural network (ANN) models in estimating river ice thickness using easy available climate data. A site specific ANN models were developed for two hydrometric stations at two rivers in Alberta (Canada). The ANN models were found to adequately estimate ice thickness. Ways to improve the performances of the ANN models are proposed.
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