基于神经网络的人口增长多变量时间序列预测模型 |
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引用本文: | 陈涛.基于神经网络的人口增长多变量时间序列预测模型[J].宜宾学院学报,2008,8(12). |
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作者姓名: | 陈涛 |
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作者单位: | 陕西理工学院,数学系,陕西,汉中723000 |
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基金项目: | 陕西理工学院教学改革研究项目 |
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摘 要: | 人口增长是一个复杂的非线性动态系统,基于神经网络建立人口增长时间序列的预测模型,并通过实例仿真得出预测我国未来人口增长情况.
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关 键 词: | 神经网络 时间序列 人口增长 预测模型 |
Multivariable Time Series Prediction Model for Population Growth Based on ANN |
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Authors: | CHEN Tao |
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Institution: | CHEN Tao (Department of Mathematics,Shaanxi University of Technology,Hanzhong 723000,China) |
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Abstract: | Population is one of the key factors affecting the development in China.Accurately predicting the future population number plays an important role in the development.Population growth is a complex nonlinear dynamic system,so in the article it establishes a multivariable time series prediction model for population growth based on ANN,and gives simulation results of examples,and the results have higher accuracy of prediction. |
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Keywords: | Artificial Neural Networks Time Series Population Growth Prediction Model |
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