Improving Artificial Neural Network Based Streamflow Forecasting Models through Data Preprocessing
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DOI: 10.1007/s12205-021-1859-y
Abstract: The real time hydrological data may contain noise, missing information and deviation from its original scale due to complex and nonlinear nature of hydrological processes. The data when used as it is in hydrological forecasting… read more here.
Keywords: improving artificial; transformed data; based streamflow; artificial neural ... See more keywords