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...
Guardado en:
Autores principales: | Guangzhi Rong, Kaiwei Li, Yulin Su, Zhijun Tong, Xingpeng Liu, Jiquan Zhang, Yichen Zhang, Tiantao Li |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
MDPI AG
2021
|
Materias: | |
Acceso en línea: | https://doaj.org/article/993690e3392a42b99f8f5c8431e63e1d |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
-
Deep neural networks for global wildfire susceptibility modelling
por: Guoli Zhang, et al.
Publicado: (2021) -
Sequentially Delineation of Rooftops with Holes from VHR Aerial Images Using a Convolutional Recurrent Neural Network
por: Wei Huang, et al.
Publicado: (2021) -
Kohonen Network-Based Adaptation of Non Sequential Data for Use in Convolutional Neural Networks
por: Michał Bereta
Publicado: (2021) -
Landslide Detection Mapping Employing CNN, ResNet, and DenseNet in the Three Gorges Reservoir, China
por: Tong Liu, et al.
Publicado: (2021) -
Hybrid Forecast and Control Chain for Operation of Flexibility Assets in Micro-Grids
por: Hamidreza Mirtaheri, et al.
Publicado: (2021)