| 基于人工神经网络的经济预测模型 |
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| 引用本文： | 郭庆春,何振芳.基于人工神经网络的经济预测模型[J].计算技术与自动化,2014(1):132-136. |
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| 作者姓名： | 郭庆春 何振芳 |
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| 作者单位： | [1]陕西广播电视大学,陕西西安710119 [2]中国科学院寒区旱区环境与工程研究所,甘肃兰州730000 |
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| 基金项目： | 国家重点基础研究发展规划项目（2010CB833406）;国家自然科学基金项目（40975020,41075067）;陕西省教育厅科学研究计划项目（12JK0123）;陕西省教育厅科学研究计划项目（12JK0414） |
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| 摘 要： | 运用不同改进BP算法来建立和训练人工神经网络经济预测模型,并对GDP进行预测,结果表明:模拟值与实际值吻合较好,基于改进BP神经网络模型预测精度高,模型的通用性和实用性强。
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| 关 键 词： | 改进BP算法 神经网络 GDP 时间序列 |
Economic Forecasting Model Based on Artificial Neural Network |
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| GUO Qing-chun,HE Zhen-fang.Economic Forecasting Model Based on Artificial Neural Network[J].Computing Technology and Automation,2014(1):132-136. |
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| Authors: | GUO Qing-chun HE Zhen-fang |
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| Affiliation: | 1. Shaanxi Radio ＆ TV University, Xian 710119, China; 2. Cold and Arid Regions Environmental and Engineering Research Institute, Chinese Academy of Sciences, Lanzhou 730000, China) |
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| Abstract: | The economic prediction models of neural networks were established and trained by different improved algo-rithms.The research results show：simulated values and real values are in good agreement.The model based on the im-proved BP neural network of GDP has high forecast precision,strong universality and practicality. |
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| Keywords: | GDP improved BP algorithm neural network gross domestic product time serial |
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