Machine learning based on landslide susceptibility assessment with Bayesian optimized the hyperparameters

Machine learning based on landslide susceptibility assessment with Bayesian optimized the hyperparameters

In machine learning-based landslide susceptibility assessment, there are some differences in the evaluation results obtained by using different hyperparameters. This paper aims to use the Bayesian algorithm to optimize the hyperparameters of four common machine learning models (logistic regression,...

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Bibliographic Details
Main Authors: Can Yang, Leilei Liu, Yili Zhang, Wenqing Zhu, Shaohe Zhang
Format: Article
Language:zho
Published: Editorial Department of Bulletin of Geological Science and Technology 2022-03-01
Series:地质科技通报
Subjects:
landslide
susceptibility assessment
central hunan
machine learning
hyperparameter optimization
bayesian
Online Access:https://dzkjqb.cug.edu.cn/en/article/doi/10.19509/j.cnki.dzkq.2022.0059

Internet

https://dzkjqb.cug.edu.cn/en/article/doi/10.19509/j.cnki.dzkq.2022.0059

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