A comparative study between popular statistical and machine learning methods for simulating volume of landslides
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))...
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Main Authors: | , , , , , , |
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Format: | Article |
Published: |
Elsevier B.V.
2017
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Subjects: | |
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 |
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Institution: | Universiti Teknologi Malaysia |