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
Main Authors: Mingliang Li, Kegang Li, Yuedong Liu, Shunchuan Wu, Qingci Qin, Rui Yue
Format: Article
Language:English
Published: KeAi Communications Co., Ltd. 2024-04-01
Series:Underground Space
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2467967423001319