A comparative study between popular statistical and machine learning methods for simulating volume of landslides

• Main Authors: Shirzadi, A., Shahabi, H., Chapi, K., Bui, D. T., Pham, B. T., Shahedi, K., Ahmad, B. B.
• Format: Article
• Published: Elsevier B.V. 2017
• Subjects: HD Industries. Land use. Labor
• Online Access: http://eprints.utm.my/id/eprint/75476/; https://www.scopus.com/inward/record.uri?eid=2-s2.0-85019592596&doi=10.1016%2fj.catena.2017.05.016&partnerID=40&md5=4be52de8e5abe5d90fc96e576d34d064
• Institution: Universiti Teknologi Malaysia

This study attempts to compare popular statistical methods (linear, logarithmic, quadratic, power and exponential functions) with machine learning methods (multi-layer perceptron (MLP), radial base function (RBF), adaptive neural-based fuzzy inference system (ANFIS) and support vector machine (SVM))...