%0 Journal Article
%T Customer''''s Clustering Analysis and Corresponding Marketing Strategies based on SOFM Neural Network in e-Supply Chain<br>基于SOFM神经网络的e-供应链客户聚类分析及营销策略
%A HUANG Li-juan
%A GAN Xiao-qing
%A <br>黄丽娟
%A 甘筱青
%J 系统工程理论与实践
%D 2007
%I 
%X 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.
%K neural network
%K supply chain
%K clustering
%K customer
%K strategies<br>神经网络
%K 供应链
%K 聚类
%K 客户
%K 策略
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=01BA20E8BA813E1908F3698710BBFEFEE816345F465FEBA5&cid=962324E222C1AC1D&jid=1D057D9E7CAD6BEE9FA97306E08E48D3&aid=DD4D567B9D831BE377A2F7EC9F5A674C&yid=A732AF04DDA03BB3&vid=DB817633AA4F79B9&iid=59906B3B2830C2C5&sid=2A3781E88AB1776F&eid=E514EE58E0E50ECF&journal_id=1000-6788&journal_name=系统工程理论与实践&referenced_num=0&reference_num=8