| Distinguishing volcanic lithology using Self-Organizing Map |
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| 作者姓名： | Ping ZHANG Baozhi PAN |
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| 作者单位： | College of Geoexploration Science and Technology, Jilin University, Changdzun 130026, China |
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| 基金项目： | Supported by National Oil-gas Project:No XQ-2004-07 |
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| 摘 要： | Self-Organizing Map is an unsupervised learning algorithm.It has the ability of self-organization,self-learning and side associative thinking.Based on the principle it can identified the complex volcanic lithology.According to the logging data of the volcanic rock samples,the SOM will be trained,The SOM training results were analyzed in order to choose optimally parameters of the network.Through identifying the logging data of volcanic formations,the result shows that the map can achieve good application effects.
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| 关 键 词： | 火山岩 岩性识别 数据日志 自组织映射图 |
| 文章编号： | 1673-9736（2007）01-0074-04 |
Distinguishing volcanic lithology using Self-Organizing Map |
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| Ping ZHANG Baozhi PAN.Distinguishing volcanic lithology using Self-Organizing Map[J].Journal of Geoscientific Research in Northeast Asia,2007,10(1):74-77. |
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| Authors: | Ping ZHANG Baozhi PAN |
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| Abstract: | Self-Organizing Map is an unsupervised learning algorithm. It has the ability of self-organization, self-learning and side associative thinking. Based on the principle it can identified the complex volcanic lithology. According to the logging data of the volcanic rock samples, the SOM will be trained, The SOM training results were analyzed in order to choose optimally parameters of the network. Through identifying the logging data of volcanic formations, the result shows that the map can achieve good application effects. |
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| Keywords: | Self-Organizing Map volcanic rock lithology recognition logging data |
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