DLESE description of Toward a Theory of Meso-Scale Wildfire Modeling: A Complex Systems Approach Using Artificial Neural Networks

This report outlines a fire model that makes use of an artificial neural network (ANN) as the decision-making engine. ANN-based wildfire models are distinctive in comparison to contemporary models in two ways: 1) they integrate relationships between environment variables relating to fire behavior that occurs at multiple spatio-temporal scales and 2) they allow the capture and analysis of cover, landform and climate interactions that may be unique in time and space with respect to predicting fire spread.