Landslide spatial modelling using novel bivariate statistical based Naïve Bayes, RBF Classifier, and RBF network machine learning algorithms

• Main Authors: He, Qingfeng, Shahabi, Himan, Shirzadi, Ataollah, Li, Shaojun, Chen, Wei, Wang, Nianqin, Chai, Huichan, Bian, Huiyuan, Ma, Jianquan, Chen, Yingtao, Wang, Xiaojing, Chapi, Kamran, Ahmad, Baharin
• Format: Article
• Published: Elsevier B.V. 2019
• Subjects: NA Architecture
• Online Access: http://eprints.utm.my/id/eprint/88179/; http://dx.doi.org/10.1016/j.scitotenv.2019.01.329
• Institution: Universiti Teknologi Malaysia

Landslides are major hazards for human activities often causing great damage to human lives and infrastructure. Therefore, the main aim of the present study is to evaluate and compare three machine learning algorithms (MLAs) including Naïve Bayes (NB), radial basis function (RBF) Classifier, and RBF...