Comparison of debris flow susceptibility assessment methods: support vector machine, particle swarm optimization, and feature selection techniques

The selection of important factors in machine learning-based susceptibility assessments is crucial to obtain reliable susceptibility results. In this study, metaheuristic optimization and feature selection techniques were applied to identify the most important input parameters for mapping debris flo...

Ausführliche Beschreibung