| 改进BP神经网络在预测房地产价格指数中的应用 |
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| 引用本文： | 郭庆春,寇立群,孔令军,张小永,崔文娟.改进BP神经网络在预测房地产价格指数中的应用[J].价值工程,2011,30(17):149-149. |
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| 作者姓名： | 郭庆春 寇立群 孔令军 张小永 崔文娟 |
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| 作者单位： | 陕西广播电视大学,西安,710008 |
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| 摘 要： | 要对非线性趋势房地产价格指数进行预测,就必须利用模拟非线性的模型,采用BP人工神经网络的改进算法,建立了基于BP神经网络的房地产价格指数预测模型。结果表明:该模型预测精度较高,能较好地反映房地产价格指数内在变化规律。
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| 关 键 词： | 房地产价格指数 BP神经网络 改进算法 预测 |
Application of Improved BP Neural Network into Predicting Real Estate Price Index |
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| Guo Qingchun,Kou Liqun,Kong Lingjun,Zhang Xiaoyong,Cui Wenjuan.Application of Improved BP Neural Network into Predicting Real Estate Price Index[J].Value Engineering,2011,30(17):149-149. |
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| Authors: | Guo Qingchun Kou Liqun Kong Lingjun Zhang Xiaoyong Cui Wenjuan |
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| Institution: | Guo Qingchun,Kou Liqun,Kong Lingjun,Zhang Xiaoyong,Cui Wenjuan(Shaanxi Radio & TV University,Xi'an 710068,China) |
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| Abstract: | The simulation non-linear model should be used to carry on the forecast to the non-linear tendency real estate price index.A model with improved algorithm is developed to predict real estate price index based on BP artificial neural network.The research results show that the network has good ability to reflect the intrinsic change rules with higher predicted precision. |
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| Keywords: | real estate price index BP artificial neural network improved algorithm predict |
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