Prediction of ground subsidence due to underground mining through time using multilayer feed-forward artificial neural networks and back-propagation algorithm – case study at Mong Duong underground coal mine (Vietnam)

Prediction of ground subsidence due to underground mining through time using multilayer feed-forward artificial neural networks and back-propagation algorithm – case study at Mong Duong underground coal mine (Vietnam)

The paper is devoted to studying the possibility of using artificial neural networks (ANN) to estimate ground subsidence caused by underground mining. The experiments showed that the most suitable network structure is a network with three layers of perceptrons and four neurons in the hidden layer wi...

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Bibliographic Details
Main Authors: Quoc Long Nguyen, Quang Minh Nguyen, Dinh Trong Tran, Xuan Nam Bui
Format: Article
Language:English
Published: National University of Science and Technology MISiS 2021-12-01
Series:Горные науки и технологии
Subjects:
underground mining
subsidence trough
subsidence prediction
artificial neural network
back propagation
Online Access:https://mst.misis.ru/jour/article/view/305

Internet

https://mst.misis.ru/jour/article/view/305

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