| 支持向量机在地层识别中的应用 |
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| 引用本文： | 郑延斌,李国和.支持向量机在地层识别中的应用[J].河南师范大学学报(自然科学版),2009,37(2). |
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| 作者姓名： | 郑延斌 李国和 |
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| 作者单位： | 1. 河南师范大学,计算机与信息技术学院,河南,新乡,453007
2. 中国石油大学,北京,计算机科学与技术系,北京,102200;昆士兰大学,信息学院,昆士兰州,澳大利亚 |
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| 基金项目： | 河南省教育厅自然科学基金 |
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| 摘 要： | 以径向基函数RBF为核函数,根据测井数据建立支持向量机的地层识别模型(SVMM).通过对SVMM分类器中惩罚参数C的优选,结合生产工程需要引入判断函数,提高了SVMM分类器的分类正确率.试验表明:SVM分类器应用在地层识别中效果良好,而且具有广阔的应用前景.
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| 关 键 词： | 支持向量机 判断函数 分类正确率 石油测井 |
Application of Support Vector Machine to Stratum Recognition |
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| ZHENG Yan-bin,LI Guo-he.Application of Support Vector Machine to Stratum Recognition[J].Journal of Henan Normal University(Natural Science),2009,37(2). |
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| Authors: | ZHENG Yan-bin LI Guo-he |
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| Institution: | 1.College of Computer and Information Technology;Henan Normal University;Xinxiang 453007;China;2.Department of Computer Science and Technology;China Petroleum University;Beijing 102200;3.School of Information;University of Queensland;Australia |
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| Abstract: | A new support vector machine model(SVMM) is proposed and implemented with term of well logging data,and RBF is adopted as kernel function in SVMM.By means of the penalty parameter C of the model adjusted optimally,and a decision-function introduced practically,the classification accuracy of SVMM is improved well.The experimental result shows that the SVM classifier can be applied in stratum recognition effectively,and then widely used in the future. |
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| Keywords: | support vector machine decision-function classification accuracy well logging |
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