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第三产业产值比重预测的BP神经网络模型
引用本文:郭庆春,何振芳,寇立群,孔令军,张小永,崔文娟. 第三产业产值比重预测的BP神经网络模型[J]. 价值工程, 2011, 30(15): 9-10
作者姓名:郭庆春  何振芳  寇立群  孔令军  张小永  崔文娟
作者单位:1. 陕西广播电视大学,西安,710068
2. 中国科学院寒区旱区环境与工程研究所,兰州,730000
摘    要:宏观经济政策的制定要参照各次产业的发展水平,所以对产业发展水平进行评估和预测就显得十分必要。通过运用改进BP算法神经网络的建模方法对我国第三产业产值比重进行分析,最后建立了单隐层的BP神经网络模型。结果表明基于改进BP算法的神经网络模型预测精度高,收敛速度快,具有良好的泛化能力,模型的通用性和实用性强。

关 键 词:第三产业  产值比重  BP神经网络  预测

BP Neural Network Model for Predicting the Proportion of Tertiary Industrial Output-value
Guo Qingchun,He Zhenfang,Kou Liqun,Kong Lingjun,Zhang Xiaoyong,Cui Wenjuan. BP Neural Network Model for Predicting the Proportion of Tertiary Industrial Output-value[J]. Value Engineering, 2011, 30(15): 9-10
Authors:Guo Qingchun  He Zhenfang  Kou Liqun  Kong Lingjun  Zhang Xiaoyong  Cui Wenjuan
Affiliation:① Guo Qingchun;② He Zhenfang;① Kou Liqun;① Kong Lingjun;① Zhang Xiaoyong;① Cui Wenjuan(①Shaanxi Radio & TV University,Xi’an 710068,China; ②Cold and Arid Regions Environmental and Engineering Research Institute,Chinese Academy of Sciences,Lanzhou 730000,China)
Abstract:The formulation of macroeconomic should consult the industry development level,so it is very important to assess and predict the industrial development level.Through the application and improvement of modeling method of BP algorithm neural network,the production value of the tertiary industry in China is analyzed,finally single hidden layer of BP neural network model is established.The research results show that the model based on the improved BP neural network has high forecast precision,fast convergence r...
Keywords:tertiary industrial  the proportion of output-value  BP Neural Network  predict  
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