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基于SVM降雨充水矿井涌水量预测
引用本文:刘北战,梁冰.基于SVM降雨充水矿井涌水量预测[J].辽宁工程技术大学学报(自然科学版),2010,29(Z1).
作者姓名:刘北战  梁冰
作者单位:1. 辽宁工程技术大学,理学院,辽宁,阜新,123000
2. 辽宁工程技术大学,力学与工程学院,辽宁,阜新,123000
摘    要:为了准确预测降雨充水矿井涌水量,将SVM算法应用于降雨充水矿井涌水量预测,通过对SVM算法分析,确定了合适的核函数及其参数,提出了基于SVM算法的降雨充水矿井涌水量预测模型,并根据所选矿区自然地理情况,确定了预测输入因子和输出因子。通过MATLAB语言编程,结果显示:预测值与实际测量值具有较好的一致性,验证了矿井涌水预测模型是有效的。

关 键 词:支持向量机  矿井涌水量  预测模型

Prediction of water inflow of mine with rainfall yield based on SVM
LIU Beizhan,LIANG Bing.Prediction of water inflow of mine with rainfall yield based on SVM[J].Journal of Liaoning Technical University (Natural Science Edition),2010,29(Z1).
Authors:LIU Beizhan  LIANG Bing
Institution:LIU Beizhan1,LIANG Bing2(1.College of Science,Liaoning Technical University,Fuxin 123000,China,2.College of Mechanics and Engineering,China)
Abstract:To predict water inflow of mine with rainfall yield,SVM(Support Vector Machine is applied to predict the water inflow of mine with rainfall yield.Appropriate kernel function and parameters was chosen based on the analysis of SVM regression arithmetic.The paper proposes The prediction Model of mine inrush water and determines the prediction of the input factor and the output factor according to the physical geography of the chosen mining area.A program was worked out in language Matlab.The result has improve...
Keywords:support vector machine  mine water discharge  prediction model  
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