Research on a BP Neural Network Slope Safety Coefficient Prediction Model Based on Improved Sparrow Algorithm Optimization

Through the stability evaluation of a slope, a landslide geological disaster can be identified, and the safety and risk control of a project can be ensured. This work proposes an improved sparrow search algorithm to optimize the slope safety factor prediction model (ISSA–BP) of a BP neural network,...

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Veröffentlicht in:	Applied sciences Jg. 13; H. 14; S. 8446
Hauptverfasser:	Wang, Yiwen, Liu, Dongna, Dong, Haiyu, Lin, Junwei, Zhang, Qi, Zhang, Xiaohui
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Basel MDPI AG 01.07.2023
Schlagworte:	Accuracy Algorithms Analysis Back propagation BP neural network Economic development Food Foraging behavior Geology Intelligence Landslides Landslides & mudslides Learning strategies Machine learning Mathematical functions neural network optimization Neural networks Optimization algorithms Research methodology Sensors slope safety factor sparrow search algorithm Velocity
ISSN:	2076-3417, 2076-3417
Online-Zugang:	Volltext
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