| 基于过程神经网络的黑龙江省GDP预测 |
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| 引用本文： | 李新东.基于过程神经网络的黑龙江省GDP预测[J].黑龙江教育学院学报,2012,31(3):198-200. |
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| 作者姓名： | 李新东 |
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| 作者单位： | 哈尔滨商业大学计算机与信息工程学院,哈尔滨,150028 |
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| 摘 要： | 将过程神经网络应用于GDP预测,可以将时间序列中的时间累积效应充分考虑到预测中,能较好地解决传统GDP预测方法中的一些不足。运用黑龙江省1981年至2010年GDP与其影响因素数据,结合相关理论,建立了基于过程神经网络的GDP预测模型,对GDP进行了预测。结果表明,将过程神经网络应用于GDP预测问题中,可以得到较高的预测精度,预测效果较好。
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| 关 键 词： | 过程神经网络 GDP 预测 |
GDP Forecast of Heilongjiang Province Based on Process Neural Network |
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| LI Xin-dong.GDP Forecast of Heilongjiang Province Based on Process Neural Network[J].Journal of Heilongjiang College of Education,2012,31(3):198-200. |
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| Authors: | LI Xin-dong |
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| Institution: | LI Xin-dong(School of Computer and Information Engineering,Harbin University of Commerce,Harbin 150028,China) |
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| Abstract: | GDP forecast based on process neural network fully take into account the cumulative effect of time series and better remedy some deficiencies of the traditional GDP forecast.Using GDP of Heilongjiang Province from 1981 to 2010 and its impact factor data,combined with relevant theory,a process-based neural network prediction model of GDP is established to predict GDP.The results show that with the process neural network prediction of GDP,higher prediction accuracy and better prediction effect can be achieved. |
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| Keywords: | process neural networks GDP prediction |
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