A new, fast, and accurate algorithm for predicting soil slope stability based on sparrow search algorithm-back propagation

Slope stability prediction is one of the most essential and critical tasks in mining and geotechnical projects. A fast and precise slope stability prediction is crucial for safe operations and cost-effective slope maintenance. In this work, a back propagation (BP) neural network based on a sparrow s...

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Veröffentlicht in:	Natural hazards (Dordrecht) Jg. 120; H. 1; S. 297 - 319
Hauptverfasser:	Zheng, Binbin, Wang, Jiahe, Feng, Shuhu, Yang, Han, Wang, Wensong, Feng, Tingting, Hu, Tianyu
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Dordrecht Springer Netherlands 01.01.2024 Springer Nature B.V
Schlagworte:	Algorithms Back propagation Back propagation networks Civil Engineering Coefficient of variation Coefficients Decision trees Earth and Environmental Science Earth Sciences Environmental Management Geophysics/Geodesy Geotechnical Engineering & Applied Earth Sciences Hydrogeology Independent variables Natural Hazards Neural networks Original Paper Predictions Regression coefficients Safety Search algorithms Slope stability Soil stability Support vector machines Slope stability BP neural network Safety factor Sparrow search algorithm
ISSN:	0921-030X, 1573-0840
Online-Zugang:	Volltext
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