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Advances in ungauged streamflow prediction using artificial neural networks
2010
Journal of Hydrology
Generalized regression neural network s u m m a r y In this work, we develop and test two artificial neural networks (ANNs) to forecast streamflow in ungauged basins. The model inputs include time-lagged records of precipitation and temperature. In addition, recurrent feedback loops allow the ANN streamflow estimates to be used as model inputs. Publically available climate and US Geological Survey streamflow records from sub-basins in Northern Vermont are used to train and test the methods.
doi:10.1016/j.jhydrol.2010.02.037
fatcat:wvgelqdmy5cmfafkaov44r7a3q