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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Bibliografiske detaljer

Principais autores:	LI Da-feng, ZHAO Shuai, YANG Dai-ping
Format:	Artigo
Sprog:	Chinês
Udgivet:	Editorial Department of Industry and Mine Automation 2010-10-01
Serier:	Gong-kuang zidonghua
Fag:	coal and gas outburst, kpca, svm, feature selection, classified forecasting
Online adgang:	http://www.gkzdh.cn/article/id/1340
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