HIGHLIGHTS
- who: Xianmin Wang and colleagues from the China University of Geosciences, Wuhan, China have published the research: Landslide Susceptibility Evaluation Based on Potential Disaster Identification and Ensemble Learning, in the Journal: (JOURNAL) of 12/08/2013
- what: (7) Seismic data with the magnitude above 3.0 and within 400 km of the study area are used to establish the seismic factors of peak ground acceleration (PGA) and kernel density of earthquake distribution that reflects the distribution concentration of earthquake events. SVM and CNN are classical machine_learning and deep learning algorithms, respectively; thus, in this work . . .
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