A hybrid artificial intelligence approach using GIS-based neural-fuzzy inference system and particle swarm optimization for forest fire susceptibility modeling at a tropical area
PSO-NF is proposed for forest fire modeling. PSO-NF has high performance on the training and the validation datasets. PSO-NF outperforms benchmark models, RF and SVM.