基于自组织特征映射神经网络的聚类分析的应用  

Application of self-organizing map neural network in cluster analysis

作　　者：徐小华[1] 付明柏[1] 胡忠旭[1] 

机构地区：[1]昭通学院网络信息中心,云南昭通657000

出　　处：《新余学院学报》2014年第4期11-13,共3页Journal of Xinyu University

摘　　要：介绍了自组织特征映射神经网络结构和算法,并将此神经网络用于葡萄酒化学成分产地的聚类分析,实验结果表明:该网络的聚类准确率达到了87%,具有一定的科学性和适用性。This paper firstly introduced the structure and algorithm of the Self - Organizing Map Neural Network, and then applied it in the origin cluster analysis of wine chemical composition. The experimental results showed that the clustering accuracy rate of this network could reach 87%, possessing a strong scientific nature and applicability.

关 键 词：自组织特征映射神经网络 化学成分 葡萄酒 原产地 

分 类 号：TN219[电子电信—物理电子学]