Comparison of Tree-Structured Parzen Estimator Optimization in Three Typical Neural Network Models for Landslide Susceptibility Assessment

Landslides pose a constant threat to the lives and property of mountain people and may also cause geomorphological destruction such as soil and water loss, vegetation destruction, and land cover change. Landslide susceptibility assessment (LSA) is a key component of landslide risk evaluation. There...

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Bibliographic Details
Main Authors:	Guangzhi Rong, Kaiwei Li, Yulin Su, Zhijun Tong, Xingpeng Liu, Jiquan Zhang, Yichen Zhang, Tiantao Li
Format:	article
Language:	EN
Published:	MDPI AG 2021
Subjects:	landslide susceptibility assessment deep neural network recurrent neural network convolutional neural network hyperparameter optimization tree-structured Parzen estimator algorithm Science Q
Online Access:	https://doaj.org/article/993690e3392a42b99f8f5c8431e63e1d
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Comparison of Tree-Structured Parzen Estimator Optimization in Three Typical Neural Network Models for Landslide Susceptibility Assessment

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