| 支持向量机在煤与瓦斯突出预测中的应用 |
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| 引用本文： | 张宏伟,鹿广利,徐路,杨庆威. 支持向量机在煤与瓦斯突出预测中的应用[J]. 矿业安全与环保, 2013, 0(2): 55-58 |
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| 作者姓名： | 张宏伟 鹿广利 徐路 杨庆威 |
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| 作者单位： | 山东科技大学资源与环境工程学院;矿山灾害预防控制重点实验室;西安科技大学 |
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| 摘 要： | 为了准确预测煤与瓦斯突出危险,首先利用灰色关联分析的方法寻找出影响煤与瓦斯突出的关键性因素,然后利用MATLAB的SVM工具箱建立煤与瓦斯突出的预测模型,并应用此模型识别瓦斯突出的类型。该模型基于MATLAB的SVM工具箱加以实现。实验结果表明,基于灰色关联分析的SVM煤与瓦斯突出预测模型结果可靠,效果良好,应用性强。
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| 关 键 词： | 支持向量机 煤与瓦斯突出 预测 |
Application of Support Vector Machine in Prediction of Coal and Gas Outburst |
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| ZHANG Hongwei,LU Guangli,XU Lu,YANG Qingwei. Application of Support Vector Machine in Prediction of Coal and Gas Outburst[J]. Mining Safety & Environmental Protection, 2013, 0(2): 55-58 |
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| Authors: | ZHANG Hongwei LU Guangli XU Lu YANG Qingwei |
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| Affiliation: | 1.College of Resource and Environment Engineering,Shandong University of Science and Technology,Qingdao 266590,China; 2.Key Laboratory of Mining Disaster Prevention and Control,Qingdao 266590,China; 3.Xi’an University of Science and Technology,Xi’an 710054,China) |
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| Abstract: | In this paper,the grey correlation analysis method was firstly used to find out the key factors that affect coal and gas outburst in order to accurately predict its danger,and then a prediction model for coal and gas outburst was established by using the SVM toolbox of MATLAB and applied to identify the type of coal and gas outburst.This model was realized based on the SVM toolbox of MATLAB.The experimental results showed that the SVM coal and gas outburst prediction model which was based on the gray correlation analysis has the features of reliable result,good effect and strong applicability. |
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| Keywords: | support vector machine coal and gas outburst prediction |
| 本文献已被 CNKI 等数据库收录！ |
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