A platform for research: civil engineering, architecture and urbanism
Spatial prediction of landslide susceptibility using data mining-based kernel logistic regression, naive Bayes and RBFNetwork models for the Long County area (China)
Spatial prediction of landslide susceptibility using data mining-based kernel logistic regression, naive Bayes and RBFNetwork models for the Long County area (China)
Spatial prediction of landslide susceptibility using data mining-based kernel logistic regression, naive Bayes and RBFNetwork models for the Long County area (China)
Bull Eng Geol Environ
Chen, Wei (author) / Yan, Xusheng (author) / Zhao, Zhou (author) / Hong, Haoyuan (author) / Bui, Dieu Tien (author) / Pradhan, Biswajeet (author)
Bulletin of Engineering Geology and the Environment ; 78 ; 247-266
2019-02-01
Article (Journal)
Electronic Resource
English
Presenting logistic regression-based landslide susceptibility results
British Library Online Contents | 2018
|