Coal and gas outburst prediction model based on principal component analysis and improved support vector machine-Reference-Cited by-同舟云学术

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Coal and gas outburst prediction model based on principal component analysis and improved support vector machine

Published:2023-12 Issue:4 Volume:1 Page:319-324
ISSN:2949-7418
Container-title:Geohazard Mechanics
language:en
Short-container-title:Geohazard Mechanics

Author:

Fan Chaojun,Lai Xinfeng,Wen Haiou,Yang Lei

Publisher

Elsevier BV

Reference25 articles.

1. Experimental study on evolution law for particle breakage during coal and gas outburst;Wu;Int J Coal Sci Techn,2020

2. Identifying coal mine safety production risk factors by employing text mining and Bayesian network techniques;Li;Process Saf Environ,2022

3. Spatial and temporal distribution of coal and gas outburst accidents in China in recent 20 years and prevention and control suggestions;Zhang;Coal Geol. Explor.,2021

4. Study on basic characteristics and occurrence rules of coal and gas outburst accidents in China from 2001 to 2012;Li;J. Saf. Environ.,2013

5. A new method to determine the sensitivity of coal and gas outburst prediction index;Mou;Arabian J. Geosci.,2020

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