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中文摘要：
通过SOFM神经网络能根据数据的相似性对e-供应链中海量的客户数据进行客观的、科学的聚类分析,将客户划分成不同群类,并针对这些群类的不同特征和客户的重要性,采取有针对性的营销策略,不仅能提高客户的满意度,而且能实现e-供应链效益最大化.采用了改进的SOFM神经网络进行e-供应链中的客户聚类分析,运行效果较好.
英文摘要：
There is an old saying, ＂Birds of a feather flock together＂. Based on SOFM Neural Network, large sum of customer＇ s data in e-Supply Chain can be clustered objectively and scientifically according to the likeness of data, and correspondingly customers in e-Supply Chain can be clustered into different groups. Through recognizing and analyzing the different feature of these different groups, it would be helpful to make some aimed marketing strategies to satisfy all the customers and maximize the profit of e-Supply Chain. In this paper, SOFM Neural Network applied in customer＇s clustering analysis is the improved one that can make clustering performance better than original one. Customer＇s clustering analysis and corresponding marketing strategies based on SOFM Neural Network is a comparatively novel topic. So, the result of research in the paper is just for reference.
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