Application of SVM in Analyzing the Headstream of Gushing Water in Coal Mine

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• 作者：Zhi-gang YAN ; Hai-rong ZHANG ; Pei-jun DU
• 关键词：support vector machine ; gushing water ; headstream recognition ; H-SVMs
• 刊名：Journal of China University of Mining and Technology
• 出版年：2006
• 出版时间：December 2006
• 年：2006
• 卷：16
• 期：4
• 页码：433-438
• 全文大小：563 K

文摘

To recognize the presence of the headstream of gushing water in coal mines, the SVM (Support Vector Machine) was proposed to analyze the gushing water based on hydrogeochemical methods. First, the SVM model for headstream analysis was trained on the water sample of available headstreams, and then we used this to predict the unknown samples, which were validated in practice by comparing the predicted results with the actual results. The experimental results show that the SVM is a feasible method to differentiate between two headstreams and the H-SVMs (Hierachical SVMs) is a preferable way to deal with the problem of multi-headstreams. Compared with other methods, the SVM is based on a strict mathematical theory with a simple structure and good generalization properties. As well, the support vector W in the decision function can describe the weights of the recognition factors of water samples, which is very important for the analysis of headstreams of gushing water in coal mines.