版权说明 操作指南
首页 > 成果 > 详情

Customer satisfaction data analysis based on BP ANN

认领
导出
Link by 万方会议论文
反馈
分享
QQ微信 微博
成果类型:
期刊论文、会议论文
作者:
Zhang, Guozheng*;Zhou, Faming;Liu, Junfeng;Lan, Yong
通讯作者:
Zhang, Guozheng
作者机构:
[Zhang, Guozheng; Liu, Junfeng; Zhou, Faming; Lan, Yong] Hunan Agr Univ, Coll Business, Changsha, Hunan, Peoples R China.
通讯机构:
[Zhang, Guozheng] H
Hunan Agr Univ, Coll Business, Changsha, Hunan, Peoples R China.
语种:
英文
关键词:
customer satisfaction;ANN;multiple regressions
期刊:
2008 4TH INTERNATIONAL CONFERENCE ON WIRELESS COMMUNICATIONS, NETWORKING AND MOBILE COMPUTING, VOLS 1-31
年:
2008
页码:
8365-8367
会议名称:
The 4th International Conference on Wireless Communications, Networking and Mobile Computing(第四届IEEE无线通信、网络技术及移动计算国际会议)
会议论文集名称:
The 4th International Conference on Wireless Communications, Networking and Mobile Computing(第四届IEEE无线通信、网络技术及移动计算国际会议)论文集
会议时间:
2008-10-12
会议地点:
大连
会议赞助商:
武汉大学<&wdkj&>大连理工大学
机构署名:
本校为第一且通讯机构
院系归属:
商学院
摘要:
One of the most important benefits of ANN (Artificial Neural Networks) is the free of the restrictions of the classic statistical techniques. Some literatures points to several limitations in multiple regressions that are overcome by ANN. This paper demonstrates the usefulness of ANN in customer satisfaction analysis and compares ANN and regression, based on data from a china company customer satisfaction survey. Based on the results of this study, there is sufficient evidence to suggest that the application of ANN in customer satisfaction analysis is useful in identifying existing patterns in...

反馈

验证码:
看不清楚,换一个
确定
取消

成果认领

标题:
用户 作者 通讯作者
请选择
请选择
确定
取消

提示

该栏目需要登录且有访问权限才可以访问

如果您有访问权限,请直接 登录访问

如果您没有访问权限,请联系管理员申请开通

管理员联系邮箱:yun@hnwdkj.com