| 基于支持向量机理论的煤矿瓦斯涌出量预测研究 |
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| 引用本文： | 王巍,刘德胜.基于支持向量机理论的煤矿瓦斯涌出量预测研究[J].煤矿机械,2011,32(2):78-80. |
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| 作者姓名： | 王巍 刘德胜 |
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| 作者单位： | 1. 东北林业大学,哈尔滨,150040
2. 佳木斯大学,黑龙江,佳木斯,154007 |
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| 基金项目： | 中央高校基本科研事业费专项资金项目(DL09AB03); 佳木斯大学科学技术研究重点项目(Lz2010-013) |
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| 摘 要： | 针对影响瓦斯涌出量的因素复杂多样化以及各因素之间的非线性问题,采用径向基核函数把支持向量机算法中的低维空间向量集映射到高维空间,进而建立基于实验数据的煤矿瓦斯涌出量预测模型。样本数据分为训练样本、测试样本和校验样本,结合MATLAB强大的运算功能,进行仿真研究。结果显示:整个系统具有较强的逼近和容错能力,以及较快的收敛速度,对煤矿瓦斯涌出量具有较好的预报效果。
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| 关 键 词： | 支持向量机 瓦斯涌出 预测 |
Prediction on Emission of Coal Mine Gas Based on Support Vector Machine Theory |
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| WANG Wei,LIU De-sheng.Prediction on Emission of Coal Mine Gas Based on Support Vector Machine Theory[J].Coal Mine Machinery,2011,32(2):78-80. |
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| Authors: | WANG Wei LIU De-sheng |
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| Affiliation: | WANG Wei1,LIU De-sheng2(1.Northeast Forestry University,Harbin 150040,China,2.Jiamusi University,Jiamusi 154007,China) |
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| Abstract: | Aiming at the complexity and diversity of the factors influencing coal mine gas emission,and the nonlinear problems among each factor,the set of low-dimensional vector space of support vector machine algorithm was mapped to high dimensional space based on RBF kernel function.Then the prediction model of coal mine gas emission was set up through experimental data.The data was divided into training sample,test sample and check-up sample.Combined with the vast calculation function of MATLAB software,the resear... |
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| Keywords: | support vector machine gas emission prediction |
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