Forecasting Method of Coal and Gas Outburst Based on KPCA-SVM

Forecasting Method of Coal and Gas Outburst Based on KPCA-SVM

The paper proposed a forecasting method of coal and gas outburst based on KPCA-SVM. The method firstly used KPCA to select features of correlative indexes influencing coal and gas outburst, then used SVM to make classified forecasting coal and gas outburst. The example forecasting result showed that...

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Bibliographic Details
Main Authors: LI Da-feng, ZHAO Shuai, YANG Dai-ping
Format: Article
Language:zho
Published: Editorial Department of Industry and Mine Automation 2010-10-01
Series:Gong-kuang zidonghua
Subjects:
coal and gas outburst, kpca, svm, feature selection, classified forecasting
Online Access:http://www.gkzdh.cn/article/id/1340

Internet

http://www.gkzdh.cn/article/id/1340

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