The applications of Grey system theory in predicting the outburst of coal and gas in Linhuan Coal Mining-Reference-Cited by-同舟云学术

The applications of Grey system theory in predicting the outburst of coal and gas in Linhuan Coal Mining

Published:2021-07-01 Issue:2 Volume:804 Page:022056
ISSN:1755-1307
Container-title:IOP Conference Series: Earth and Environmental Science
language:
Short-container-title:IOP Conf. Ser.: Earth Environ. Sci.

Author:

Cheng Hao

Abstract

Abstract Coal and gas outburst is one of mine serious natural disasters. Grey cluster assessment of the grey system theory is used to predict the outburst of coal and gas in Huaibei Coal Mining Group Linhuan Coal Mining so as to have effective prevention and control on this kind of accident. This method will research the influence outstanding of various factors combined systematic analysis, through comparing the conclusion, thereby improving the forecasting accuracy. This method has the advantages of dynamic, predict accurately reflects exactly the mine coal and gas outburst rule, for the prevention and control of coal and gas outburst is ensured.

Publisher

IOP Publishing

Subject

General Engineering

Link

https://iopscience.iop.org/article/10.1088/1755-1315/804/2/022056/pdf

Reference5 articles.

1. Coal and gas outburst prediction based on system cluster analysis and discriminant analysis[J];Rong,2015

2. Neural network in the coal and gas outburst forecast[J];Liming;Mining Safety & Environmental Protection,2003

3. Study on BP neural network prediction system for coal and gas outburst [J];Xianmin,2013

4. Based on the grey system theory of coal and gas outburst prediction [J];Guoxun;Chinese Security Science Journal

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A Grey Prediction Algorithm for Enterprise Human Resource Management Validity Model Construction and Improvement;Security and Communication Networks;2022-07-08

2. Risk identification of coal spontaneous combustion in goaf based on variable weight grey target model;Energy Sources, Part A: Recovery, Utilization, and Environmental Effects;2022-06-15