Mine landslide susceptibility assessment using IVM, ANN and SVM models considering the contribution of affecting factors
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Title
Mine landslide susceptibility assessment using IVM, ANN and SVM models considering the contribution of affecting factors
Authors
Keywords
Artificial neural networks, Support vector machines, Seismology, Geology, Rivers, Machine learning, Rain, Deep learning
Journal
PLoS One
Volume 14, Issue 4, Pages e0215134
Publisher
Public Library of Science (PLoS)
Online
2019-04-12
DOI
10.1371/journal.pone.0215134
References
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