基于BP神经网络的房地产业顾客满意度测评研究  

The research on methods of measuring real estate customer satisfaction based on BP neural network

作　　者：王学文[1] 魏彦凤 单其帅 王玉芬[1] 孙毅[1] 

机构地区：[1]河北工程大学经济管理学院,河北邯郸056038

出　　处：《大众科技》2013年第12期219-221,共3页Popular Science & Technology

摘　　要：针对传统预测方法对房地产业顾客满意度预测效果差的问题,首先结合房地产业的行业特点,在ACSI的基础上建立顾客满意度指标体系。其次,构建基于BP神经网络的房地产业顾客满意度测评模型。最后,利用MATLAB软件对样本数据进行学习和训练,为房地产业顾客满意度测评提供一种更为有效和实用的方法。In order to solve the problem of poor result which is caused by the traditional forecasting methods on the real estate customer satisfaction, first, this paper established a customer satisfaction index system based on ACSI, combining with the industry characteristics of real estate. Second, a real estate satisfaction evaluation model was built based on BP neural network. Last, sample data would be learnt and practiced by MATLAB and a more efficient and practical methods would be provided for situation forecasting of real estate.

关 键 词：房地产业 BP神经网络 顾客满意度 

分 类 号：F203[经济管理—国民经济]