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《Journal of University of Science and Technology Beijing》 2005-01
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Application of kernel Fisher method based on primary factor analysis to recognition problem between oil layer and water layer

XU Zhengguang, WANG Shusheng, LIU Jiwei, WANG Zhiliang, SHI LifengInformation Engineering School, University of Science and Technology Beijing, Beijing 100083, ChinaInformation Center of Building Material Industry, Beijing 100835, China  
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.
【Fund】: 国家十五攻关项目(No.2001BA605A-08-05)
【CateGory Index】: P631.81
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