Ubiquitous GIS-Based Forest Fire Susceptibility Mapping Using Artificial Intelligence Methods

Ubiquitous GIS-Based Forest Fire Susceptibility Mapping Using Artificial Intelligence Methods

This study aimed to prepare forest fire susceptibility mapping (FFSM) using a ubiquitous GIS and an ensemble of adaptive neuro fuzzy interface system (ANFIS) with genetic (GA) and simulated annealing (SA) algorithms (ANFIS-GA-SA) and an ensemble of radial basis function (RBF) with an imperialist com...

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Bibliographic Details
Main Authors:	Seyed Vahid Razavi-Termeh, Abolghasem Sadeghi-Niaraki, Soo-Mi Choi
Format:	Article
Language:	English
Published:	MDPI AG 2020-05-01
Series:	Remote Sensing
Subjects:	forest fire artificial intelligence ubiquitous GIS ensemble models mobile application
Online Access:	https://www.mdpi.com/2072-4292/12/10/1689

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