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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Bibliographic Details
Published in:	Applied sciences Vol. 13; no. 14; p. 8446
Main Authors:	Wang, Yiwen, Liu, Dongna, Dong, Haiyu, Lin, Junwei, Zhang, Qi, Zhang, Xiaohui
Format:	Journal Article
Language:	English
Published:	Basel MDPI AG 01.07.2023
Subjects:	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 Access:	Get full text
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