基于WEKA平台的瓦斯突出预测研究
Research on Gas Outburst Prediction Based on the Platform of WEKA
山西省素有"煤矿之乡"之称,在煤矿安全生产中煤与瓦斯突出危害性最大。本文利用支持向量机在小样本情况下具有较强识别能力的特点,提出了煤与瓦斯突出的支持向量机预测方法。对煤与瓦斯突出影响因素进行选取在WEKA平台下应用SVM方法进行研究,并将其应用于实践。
Shanxi Province is known as "the township of coal mine", coal and gas outburst is the largest dangerous in the safety production of coal mine .In this paper, it is pointed out that the way to predict coal and gas outburst by support vector machines ,because the support vector machines identifier model,which solves the real problems of the small sample, has a good classification results.Selecting the effect factors of coal and gas outburst, and doing research in the paltform of WEKA with the way of SVM,then applying in practice.
刘永翔、彭新光
矿业工程理论与方法论矿山安全、矿山劳动保护计算技术、计算机技术
WEKA瓦斯突出SVM
WEKAgas outburstSVM
刘永翔,彭新光.基于WEKA平台的瓦斯突出预测研究[EB/OL].(2011-12-28)[2025-08-11].http://www.paper.edu.cn/releasepaper/content/201112-820.点此复制
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