A Comparative Study of SSA-BPNN, SSA-ENN, and SSA-SVR Models for Predicting the Thickness of an Excavation Damaged Zone around the Roadway in Rock

A Comparative Study of SSA-BPNN, SSA-ENN, and SSA-SVR Models for Predicting the Thickness of an Excavation Damaged Zone around the Roadway in Rock

Due to the disturbance effect of excavation, the original stress is redistributed, resulting in an excavation damaged zone around the roadway. It is significant to predict the thickness of an excavation damaged zone because it directly affects the stability of roadways. This study used a sparrow sea...

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Bibliographic Details
Main Authors: Guoyan Zhao, Meng Wang, Weizhang Liang
Format: Article
Language:English
Published: MDPI AG 2022-04-01
Series:Mathematics
Subjects:
excavation damaged zone
prediction
sparrow search algorithm
BP neural network
Elman neural network
support vector regression
Online Access:https://www.mdpi.com/2227-7390/10/8/1351

Internet

https://www.mdpi.com/2227-7390/10/8/1351

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