A Spatio-Temporal Neural Network Forecasting Approach for Emulation of Firefront Models
- Figures 2-5 are pretty cool
2 docs tagged with "wildfire modeling"
View all tagsBayesian Physics Informed Neural Networks for Data Assimilation and Spatio-Temporal Modelling of Wildfires
- A Bayesian physics-informed neural network that offers the capability for data assimulation while also providing uncertainty quantification. The method uses Bayes-by-backprop to provide quantitive epistemic uncertainty in predictions via the posterior distribution.