Estimating uncertainty of streamflow simulation using Bayesian neural networks

  title={Estimating uncertainty of streamflow simulation using Bayesian neural networks},
  author={Xuesong Zhang and Faming Liang and Raghavan Srinivasan and Michael Liew},
[1] Recent studies have shown that Bayesian neural networks (BNNs) are powerful tools for providing reliable hydrologic prediction and quantifying the prediction uncertainty. The reasonable estimation of the prediction uncertainty, a valuable tool for decision making to address water resources management and design problems, is influenced by the techniques used to deal with different uncertainty sources. In this study, four types of BNNs with different treatments of the uncertainties related to… CONTINUE READING
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