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...

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Bibliographic Details

Published in:	Underground space (Beijing) Vol. 15; pp. 153 - 175
Main Authors:	Li, Mingliang, Li, Kegang, Liu, Yuedong, Wu, Shunchuan, Qin, Qingci, Yue, Rui
Format:	Journal Article
Language:	English
Published:	Elsevier B.V 01.04.2024 KeAi Communications Co., Ltd
Subjects:	Goaf risk prediction IAOA Numerical simulation Rock mechanics SVM IAOA Numerical simulation Rock mechanics SVM Goaf risk prediction
ISSN:	2467-9674, 2467-9674
Online Access:	Get full text
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