Impacts of random negative training datasets on machine learning-based geologic hazard susceptibility assessment

Hao Cheng; Wei Hong; Zhen-kai Zhang; Zeng-lin Hong; Zi-yao Wang; Yu-xuan Dong

doi:10.31035/cg2024093

Articles in press have been peer-reviewed and accepted, which are not yet edited and assigned to volumes/issues, but are citable by Digital Object Identifier (DOI).

Cheng Hao, Hong Wei, Zhang Zhen-kai, Hong Zeng-lin, Wang Zi-yao, Dong Yu-xuan. 2024. Impacts of random negative training datasets on machine learning-based geologic hazard susceptibility assessment. China Geology. doi: 10.31035/cg2024093.

Citation: Cheng Hao, Hong Wei, Zhang Zhen-kai, Hong Zeng-lin, Wang Zi-yao, Dong Yu-xuan. 2024. Impacts of random negative training datasets on machine learning-based geologic hazard susceptibility assessment. China Geology. doi: 10.31035/cg2024093.

Citation:

Impacts of random negative training datasets on machine learning-based geologic hazard susceptibility assessment

Abstract

Highlights

FullText(HTML)

References(46)

Relative Articles

Supplements (0)

Turn off MathJax

Article Contents

Impacts of random negative training datasets on machine learning-based geologic hazard susceptibility assessment

Catalog

Export File

Citation

Format

Content