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

• Main Authors: Chen, W., Shirzadi, A., Shahabi, H., Ahmad, B. B., Zhang, S., Hong, H., Zhang, N.
• Format: Article
• Published: Taylor and Francis Ltd. 2017
• Subjects: G70.212-70.215 Geographic information system
• Online Access: http://eprints.utm.my/id/eprint/76199/; https://www.scopus.com/inward/record.uri?eid=2-s2.0-85034255369&doi=10.1080%2f19475705.2017.1401560&partnerID=40&md5=16369f6921155968b11090d64d40a958

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...