Research on a Regional Landslide Early-Warning Model Based on Machine Learning—A Case Study of Fujian Province, China

China’s landslide disasters are serious, and regional landslide disaster early-warning is one of the important means of disaster prevention and mitigation. The traditional regional landslide disaster early-warning model, however, is limited by the complex landslide induction mechanism, limited data...

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Bibliographic Details
Published in:	Forests Vol. 13; no. 12; p. 2182
Main Authors:	Liu, Yanhui, Huang, Junbao, Xiao, Ruihua, Ma, Shiwei, Zhou, Pinggen
Format:	Journal Article
Language:	English
Published:	Basel MDPI AG 01.12.2022
Subjects:	Algorithms Artificial intelligence Artificial neural networks Bayesian analysis Bayesian theory Big Data case studies China Comparative analysis Correlation analysis Data analysis decision support systems Decision trees disaster preparedness Disasters Emergency management Emergency preparedness Emergency warning programs Environmental hazards Geology Human engineering Landslides Landslides & mudslides Learning algorithms Machine learning Mathematical models Meteorological data Mitigation Model accuracy Neural networks Optimization Parameters Precipitation Rainfall Regions regression analysis Regression models Statistical analysis Statistical models Support vector machines Training Verification Warning systems Wind China Hong Kong China Fujian China United States > US
ISSN:	1999-4907, 1999-4907
Online Access:	Get full text
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