A novel hybrid artificial intelligence approach based on the rotation forest ensemble and naïve Bayes tree classifiers for a landslide susceptibility assessment in Langao County, China

A novel hybrid artificial intelligence approach based on the rotation forest ensemble and naïve Bayes tree classifiers for a landslide susceptibility assessment in Langao County, China

The main objective of this study was to produce landslide susceptibility maps for Langao County, China, using a novel hybrid artificial intelligence method based on rotation forest ensembles (RFEs) and naïve Bayes tree (NBT) classifiers labeled the RF-NBT model. The spatial database consisted of eig...

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Bibliographic Details
Main Authors: Wei Chen, Ataollah Shirzadi, Himan Shahabi, Baharin Bin Ahmad, Shuai Zhang, Haoyuan Hong, Ning Zhang
Format: Article
Language:English
Published: Taylor & Francis Group 2017-12-01
Series:Geomatics, Natural Hazards & Risk
Subjects:
landslide susceptibility mapping
hybrid integration approach
comparison
gis
china
Online Access:http://dx.doi.org/10.1080/19475705.2017.1401560

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