Explicitly integrating parameter, input, and structure uncertainties into Bayesian Neural Networks for probabilistic hydrologic forecasting

Engineering

• Input Parameter 100%
• Input Data 50%
• Powerful Tool 50%
• Bayesian Framework 50%
• Neural Network Weight 50%
• Posterior Distribution 50%
• Model Structure 50%
• Water Resources 50%

Keyphrases

• Structure Uncertainty 100%
• Bayesian Neural Network 100%
• Rainfall multiplier 28%
• Network Weight 14%
• Relevant Decisions 14%
• Streamflow Forecasting 14%
• Weight numbers 14%