Risk prediction of coal and gas outburst
In order to solve the problems of low accuracy and slow response speed of existing support vector machine (SVM)-based coal and gas outburst prediction methods, a risk prediction method of coal and gas outburst based on improved grey wolf optimizer (IGWO) optimized SVM is proposed. The influence degr...
Main Authors: | , , |
---|---|
Format: | Article |
Language: | zho |
Published: |
Editorial Department of Industry and Mine Automation
2022-03-01
|
Series: | Gong-kuang zidonghua |
Subjects: | |
Online Access: | http://www.gkzdh.cn/article/doi/10.13272/j.issn.1671-251x.2021070072 |