摘要
自组织特征映射是一种人工神经网络方法 ,可以同时实现模式识别和数据分类。它可以将高维数据间复杂、非线性的统计关系转换为低维形式中简单的几何关系。该文利用自组织特征映射方法对鄱阳湖地区月降水强度和月高水位变化模式进行分析 。
Self Organizing Map is a method of artificial neural network, which implements pattern recognition and data clustering simultaneously. SOM is able to convert complex nonlinear statistical relationships of high dimensional data into simple geometric relationships. In this article, we investigate the variationpatterns of precipitation intensity and maximum water level in Poyang Lake valley with self organizing map. Then the cause of flood disaster is discussed according to the result of calculation.
出处
《北京航空航天大学学报（社会科学版）》
2002年第4期43-48,共6页
Journal of Beijing University of Aeronautics and Astronautics：Social Sciences edition Edition
关键词
自组织特征映射
模式识别
聚类分析
洪水灾害
self organizing map
pattern recognition
clustering analysis
flood disaster
