基于BP神经网络的房地产业顾客满意度测评研究 |
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引用本文: | 王学文,魏彦凤,单其帅,王玉芬,孙毅.基于BP神经网络的房地产业顾客满意度测评研究[J].大众科技,2013(12):219-221. |
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作者姓名: | 王学文 魏彦凤 单其帅 王玉芬 孙毅 |
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作者单位: | 河北工程大学经济管理学院,河北邯郸,056038 |
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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。
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关 键 词: | 房地产业 BP神经网络 顾客满意度 |
The research on methods of measuring real estate customer satisfaction based on BP neural network |
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Abstract: | 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. |
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Keywords: | Real estate BP neural network customer satisfaction |
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