A Model to Predict Crosscut Stress Based on an Improved Extreme Learning Machine Algorithm

A Model to Predict Crosscut Stress Based on an Improved Extreme Learning Machine Algorithm

The analysis of crosscut stability is an indispensable task in underground mining activities. Crosscut instabilities usually cause geological disasters and delay of the project. On site, mining engineers analyze and predict the crosscut condition by monitoring its convergence and stress; however, st...

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Bibliographic Details
Main Authors: Xiaobo Liu, Lei Yang, Xingfan Zhang, Liancheng Wang
Format: Article
Language:English
Published: MDPI AG 2019-03-01
Series:Energies
Subjects:
crosscut
stress
convergence
artificial neural network
extreme learning machine
FLAC3D
Online Access:http://www.mdpi.com/1996-1073/12/5/896

Internet

http://www.mdpi.com/1996-1073/12/5/896

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