Wildland Fire Susceptibility Mapping Using Support Vector Regression and Adaptive Neuro-Fuzzy Inference System-Based Whale Optimization Algorithm and Simulated Annealing

Wildland Fire Susceptibility Mapping Using Support Vector Regression and Adaptive Neuro-Fuzzy Inference System-Based Whale Optimization Algorithm and Simulated Annealing

Fires are one of the most destructive forces in natural ecosystems. This study aims to develop and compare four hybrid models using two well-known machine learning models, support vector regression (SVR) and the adaptive neuro-fuzzy inference system (ANFIS), as well as two meta-heuristic models, the...

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Bibliographic Details
Main Authors: A’kif Al-Fugara, Ali Nouh Mabdeh, Mohammad Ahmadlou, Hamid Reza Pourghasemi, Rida Al-Adamat, Biswajeet Pradhan, Abdel Rahman Al-Shabeeb
Format: Article
Language:English
Published: MDPI AG 2021-06-01
Series:ISPRS International Journal of Geo-Information
Subjects:
wildland fire susceptibility mapping
meta-heuristic algorithms
adaptive neuro-fuzzy inference system
GIS
Online Access:https://www.mdpi.com/2220-9964/10/6/382

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https://www.mdpi.com/2220-9964/10/6/382

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