Slope stability prediction based on a long short-term memory neural network: comparisons with convolutional neural networks, support vector machines and random forest models

The numerical simulation and slope stability prediction are the focus of slope disaster research. Recently, machine learning models are commonly used in the slope stability prediction. However, these machine learning models have some problems, such as poor nonlinear performance, local optimum and in...

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Veröffentlicht in:International journal of coal science & technology Jg. 10; H. 1; S. 18 - 14
Hauptverfasser: Huang, Faming, Xiong, Haowen, Chen, Shixuan, Lv, Zhitao, Huang, Jinsong, Chang, Zhilu, Catani, Filippo
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Singapore Springer Nature Singapore 01.12.2023
Springer Nature B.V
SpringerOpen
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ISSN:2095-8293, 2198-7823
Online-Zugang:Volltext
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