| 自组织特征映射神经网络及其在地层压力剖面聚类中的应用 |
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| 引用本文： | 赵仕波,肖思和,张志华.自组织特征映射神经网络及其在地层压力剖面聚类中的应用[J].成都理工大学学报(自然科学版),1998(Z1). |
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| 作者姓名： | 赵仕波 肖思和 张志华 |
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| 作者单位： | 成都理工学院应用数学系 |
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| 摘 要： | 文章分析了Ｋｏｈｏｎｅｎ的自组织特征映射神经网络的基本特征，讨论了实际应用的技术问题，并给出了算法。将该方法应用于川东地区地层压力剖面分类，结果令人满意。
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| 关 键 词： | 自组织特征映射，近邻，聚类，地层压力 |
A SELF ORGANIZING FEATURE MAP NEURAL NETWORK AND ITS APPLICATION TO THE CLASSIFICATION OF FORMATION PRESSURE SECTIONS |
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| Zhao Shibo,Xiao Sihe,Zhang Zhihua.A SELF ORGANIZING FEATURE MAP NEURAL NETWORK AND ITS APPLICATION TO THE CLASSIFICATION OF FORMATION PRESSURE SECTIONS[J].Journal of Chengdu University of Technology: Sci & Technol Ed,1998(Z1). |
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| Authors: | Zhao Shibo Xiao Sihe Zhang Zhihua |
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| Abstract: | In this paper, fundamental features based on self organizing feature map(SOM) neural network proposed by Kohnonen are analysed, the technical problems about practical applications discussed, and the algorithm about SOM is given. This method has been applied to the classification of the formation pressure sections in the eastern area of Sichuan. The results are satisfactory. |
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| Keywords: | self organizing feature map neighborhood classification formation pressure section |
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