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《Progress In Geophysics》 2005-02
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The application of self-organizing feature map neural network to logging lithological identification

ZHANG Zhi-guo, YANG Yi-heng, XIA Li-xian (Institute of Mineral Resources Prediction of Synthetic Information, Jilin University, Changchun 130026, China)  
Based on the self-organizing feature map(SOFM) neural network this paper introduces a logging lithological identification technology. First, it describes the model and algorithm of the SOFM network. Then an example is used to show how to build up an SOFM network model for logging lithological identification and its application to logging lithological identification. The results indicate that the accuracy of identification is high and the SOFM network can be used in lithological identification of logging data, which has good prospects.
【Fund】: 国家“863”计划项目(2001AA1351202)资助.
【CateGory Index】: P631.8
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