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。
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.
出处
《成都理工大学学报（自然科学版）》
CAS
CSCD
1998年第S1期89-93,26,共6页
Journal of Chengdu University of Technology: Science & Technology Edition
关键词
自组织特征映射
近邻
聚类
地层压力
self organizing feature map
neighborhood
classification
formation pressure section
