| 基于灰色BP神经网络组合模型的郑州市商品住宅价格预测 |
| |
| 引用本文： | 罗党,时亚楠.基于灰色BP神经网络组合模型的郑州市商品住宅价格预测[J].华北水利水电学院学报,2010,31(3):91-92,112. |
| |
| 作者姓名： | 罗党 时亚楠 |
| |
| 作者单位： | 华北水利水电学院,河南,郑州,450011 |
| |
| 摘 要： | 针对郑州市商品住宅价格问题进行了研究,在传统GM(1,1)模型的基础上引入BP神经网络模型,建立了灰色BP神经网络组合模型,采用传统GM(1,1)模型与灰色BP神经网络组合模型预测郑州市商品住宅价格.结果表明,灰色BP神经网络组合模型比传统GM(1,1)模型预测精度高,具有更好的应用价值.
|
| 关 键 词： | GM(1 1) BP神经网络 组合模型 价格预测 |
Price Forecasting of Zhengzhou Commercial Housing Based on Grey BP Neural Network Combined Model |
| |
| LUO Dang,SHI Ya-nan.Price Forecasting of Zhengzhou Commercial Housing Based on Grey BP Neural Network Combined Model[J].Journal of North China Institute of Water Conservancy and Hydroelectric Power,2010,31(3):91-92,112. |
| |
| Authors: | LUO Dang SHI Ya-nan |
| |
| Affiliation: | (North China Institute of Water Conservancy and Hydroelectric Power,Zhengzhou 450011,China) |
| |
| Abstract: | In aview of the price problem of commercial housing in Zhengzhou,based on the traditional GM（1,1） model,BP neural network model,a grey BP neural network combined model is established.The paper forecasts the price of Zhengzhou commercial housing using traditional GM（1,1） model and grey BP neural network combined model,then the results show that the forcasting accuracy of the latter is higher than that of the former.Therefore,the combined model has a better application value. |
| |
| Keywords: | GM（1 1） BP neural network combined model price forecasting |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
|
