Articles with "models training" as a keyword



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Forecasting Daily Streamflow Discharges Using Various Neural Network Models and Training Algorithms

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Published in 2018 at "KSCE Journal of Civil Engineering"

DOI: 10.1007/s12205-017-1933-7

Abstract: Streamflow forecasting based on past records is an important issue in both hydrologic engineering and hydropower reservoir management. In the study, three artificial Neural Network (NN) models, namely NN with well-known multi-layer perceptron (MLPNN), NN… read more here.

Keywords: models training; network models; time; daily streamflow ... See more keywords