基于主成分分析的核Fisher判別方法在油水識別中的應用

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基于主成分分析的核Fisher判別方法在油水識別中的應用

徐正光, 王淑盛, 劉冀偉, 王志良, 史立峰

文章導航 > 工程科學學報 > 2005 > 27(1): 126-128

徐正光, 王淑盛, 劉冀偉, 王志良, 史立峰. 基于主成分分析的核Fisher判別方法在油水識別中的應用[J]. 工程科學學報, 2005, 27(1): 126-128. doi: 10.13374/j.issn1001-053x.2005.01.032

引用本文:

徐正光, 王淑盛, 劉冀偉, 王志良, 史立峰. 基于主成分分析的核Fisher判別方法在油水識別中的應用[J]. 工程科學學報, 2005, 27(1): 126-128. doi: 10.13374/j.issn1001-053x.2005.01.032

XU Zhengguang, WANG Shusheng, LIU Jiwei, WANG Zhiliang, SHI Lifeng. Application of kernel Fisher method based on primary factor analysis to recognition problem between oil layer and water layer[J]. Chinese Journal of Engineering, 2005, 27(1): 126-128. doi: 10.13374/j.issn1001-053x.2005.01.032

Citation:

XU Zhengguang, WANG Shusheng, LIU Jiwei, WANG Zhiliang, SHI Lifeng. Application of kernel Fisher method based on primary factor analysis to recognition problem between oil layer and water layer[J]. Chinese Journal of Engineering, 2005, 27(1): 126-128. doi: 10.13374/j.issn1001-053x.2005.01.032

徐正光, 王淑盛, 劉冀偉, 王志良, 史立峰. 基于主成分分析的核Fisher判別方法在油水識別中的應用[J]. 工程科學學報, 2005, 27(1): 126-128. doi: 10.13374/j.issn1001-053x.2005.01.032

引用本文:

徐正光, 王淑盛, 劉冀偉, 王志良, 史立峰. 基于主成分分析的核Fisher判別方法在油水識別中的應用[J]. 工程科學學報, 2005, 27(1): 126-128. doi: 10.13374/j.issn1001-053x.2005.01.032

XU Zhengguang, WANG Shusheng, LIU Jiwei, WANG Zhiliang, SHI Lifeng. Application of kernel Fisher method based on primary factor analysis to recognition problem between oil layer and water layer[J]. Chinese Journal of Engineering, 2005, 27(1): 126-128. doi: 10.13374/j.issn1001-053x.2005.01.032

Citation:

XU Zhengguang, WANG Shusheng, LIU Jiwei, WANG Zhiliang, SHI Lifeng. Application of kernel Fisher method based on primary factor analysis to recognition problem between oil layer and water layer[J]. Chinese Journal of Engineering, 2005, 27(1): 126-128. doi: 10.13374/j.issn1001-053x.2005.01.032

基于主成分分析的核Fisher判別方法在油水識別中的應用

doi: 10.13374/j.issn1001-053x.2005.01.032

1. 北京科技大學信息工程學院, 北京 100083;
2. 建筑材料工業信息中心, 北京 100835

基金項目:

國家十五攻關項目(No.2001BA605A-08-05)

作者簡介:
徐正光(1959-),男,副教授,博士

中圖分類號: TP29
計量
- 文章訪問數: 136
- HTML全文瀏覽量: 23
- PDF下載量: 6
- 被引次數: 0
出版歷程
- 收稿日期: 2003-10-24
- 修回日期: 2004-04-10
- 網絡出版日期: 2021-08-17

Application of kernel Fisher method based on primary factor analysis to recognition problem between oil layer and water layer

1. Information Engineering School, University of Science and Technology Beijing, Beijing 100083, China;
2. Information Center of Building Material Industry, Beijing 100835, China

摘要: 根據測井數據結構復雜和交集嚴重的特點,將主成分分析思想應用到剔除奇異點和尋找兩類樣本的交集中,并在交集中應用核Fisher判別方法,進行油水判別,彌補了Fisher線性判別方法的不足.通過將主成分分析和核Fisher判別方法這兩種理論有機的結合起來,提高了利用測井數據識別油水層的鑒別能力,實際應用中證明了本方法的實用性和有效性.
- 主成分分析 /
- 奇異點 /
- 核
Abstract: The idea of primary component analysis was applied to eliminating the singular point and selecting the intersection of raw log data sets according to the characteristics of raw log data. Then kernel Fisher method was used in the intersection, which remedy the shortcoming of linear differentiate methods. By combining the two method, primary component analysis and kernel Fisher, the differentiate capability was improved and the practicability is testified in application.
- primary factor analysis /
- singular point /
- kernel Fisher

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計量

文章訪問數: 136
HTML全文瀏覽量: 23
PDF下載量: 6
被引次數: 0

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