SHAP-powered insights into spatiotemporal effects: Unlocking explainable Bayesian-neural-network urban flood forecasting.
Wenhao ChuChunxiao ZhangHeng LiLaifu ZhangDingtao ShenRongrong LiPublished in: Int. J. Appl. Earth Obs. Geoinformation (2024)
Keyphrases
- neural network
- prediction model
- artificial neural networks
- rainfall runoff
- short term load forecasting
- logistics demand
- pattern recognition
- short term
- genetic algorithm
- space time
- neural network model
- forecasting model
- back propagation
- self organizing maps
- maximum likelihood
- bayesian networks
- weather forecasting
- bayesian inference
- long term
- exchange rate
- feed forward neural networks
- search engine
- neural network is trained
- spatiotemporal data
- public transport
- urban planning
- posterior distribution
- support vector regression
- probabilistic model
- radial basis function
- spatial and temporal
- power system