Goaf risk prediction based on IAOA–SVM and numerical simulation: A case study
In regard to goaf risk prediction, due to the low accuracy and single prediction method, this study proposes a method that combines the improved arithmetic optimization algorithm (IAOA) – support vector machines (SVM) with GoCAD–FLAC3D numerical simulation. Thus, goaf risk is comprehensively predict...
Main Authors: | , , , , , |
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Format: | Article |
Language: | English |
Published: |
KeAi Communications Co., Ltd.
2024-04-01
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Series: | Underground Space |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2467967423001319 |