| 多元线性回归与BP神经网络预测模型对比与运用研究 |
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| 引用本文： | 张景阳,潘光友.多元线性回归与BP神经网络预测模型对比与运用研究[J].昆明理工大学学报(理工版),2013(6):61-67. |
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| 作者姓名： | 张景阳 潘光友 |
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| 作者单位： | [1]昆明理工大学管理与经济学院,云南昆明650093 [2]昆明理工大学管理与经济学院公共基础设施项目管理研究所,云南昆明650093 |
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| 基金项目： | 国家自然科学基金项目（70962003）;云南省人口和计划生育委员会委托课题（KKF20131026）. |
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| 摘 要： | 对多元线性回归模型及BP神经网络模型的理论及运用方法进行研究，采用SPSS及MATLAB软件分别建立多元性回归和BP神经网络预测模型，通过农村居民纯收入预测的算例，对多元线性回p-3和BP神经网络预测模型的拟合优度、初始数据的仿真与模拟能力和新数据的预测能力进行对比，数据结果表明BP神经网络预测模型优于多元线性回归预测模型．
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| 关 键 词： | 多元线性回归 BP神经网络 预测模型 对比研究 |
Comparison and Application of Multiple Regression and BP Neural Network Prediction Model |
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| ZHANG Jing-yang,PAN Guang-you.Comparison and Application of Multiple Regression and BP Neural Network Prediction Model[J].Journal of Kunming University of Science and Technology(Natural Science Edition),2013(6):61-67. |
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| Authors: | ZHANG Jing-yang PAN Guang-you |
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| Affiliation: | 2 Faculty of Management and Economics, Kunming University of Science and Technology, Kunming 650093, 2. Institute of Infrastructure Project Management, Faculty of Management and Economies, Kunming University of Science and Technology, Kunming 650093, China) |
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| Abstract: | The theory and application of multiple regression model and BP neural network model are studied in this paper. SPSS and MATLAB software are adopted to build multiple regression model and BP neural network model respectively, whose fitness, initial capability of simulation as well as capacity to predict new data are then compared through a case study of forecasting the net income of rural residents. It is shown through the compari- sons that BP neural network prediction model is better than multiole regression prediction model. |
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| Keywords: | multiple regression BP neural network prediction model comparison research |
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