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几种人口预测方法的应用与比较研究——以河北省滦南县为例 被引量:5

A STUDY OF THE APPLICATION AND COMPARISON FOR SEVERAL POPULATION FORECAST METHODS——TAKING LUAN NAN COUNTY OF HEBEI PROVINCE AS AN EXAMPLE
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摘要 人口预测是准确把握人口增长趋势与结构特征的重要途径。本研究采用马尔萨斯人口模型、逻辑斯蒂人口增长模型和灰色预测模型三种方法,以河北省滦南县1998-2010年人口为基数,对未来10年人口增长趋势进行预测分析,并比较三种预测方法的特点与适用性,以期能够丰富人口预测方法相关研究。 The Population prediction is a significant way that can grasp the trend of population growth and structural features accurately.In this study,there are three methods being used,including Malthus population model,Logistic population growth model and Gray prediction model.The 1998-2010 population of the Luan Nan County is also used as the basic data.This study is for the forecasting analysis of the next 10 years population growth trend and also for the characteristics and applicability comparison of the three models,which aims to achieve the purpose of enriching the study of population prediction methods field.
出处 《北方经贸》 2012年第11期34-36,共3页 Northern Economy and Trade
基金 辽宁省高等学校杰出青年学者成长计划项目(WJQ2011014)
关键词 人口预测方法 应用与比较 滦南县 Population prediction method Application and comparison Luan Nan County
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  • 1徐荣辉.逻辑斯蒂方程及其应用[J].山西财经大学学报,2010,32(S2):311-312. 被引量:18
  • 2文斌,庞禹.MATLAB在中国人口统计上的应用[J].佳木斯大学学报(自然科学版),2004,22(3):423-425. 被引量:5
  • 3[3]Conner J T,Martin R D and Atlas L E.Recurrent Neural Networks and Robust Time Series Prediction[J].IEEE Transactions on Neural Networks,1994,5(2):240-254.
  • 4[4]Pandit S M,Wu Shenming.时间序列及系统分析与应用[M].北京:机械工业出版社,1988.
  • 5[5]Saad E W,Prokhorov D V and Wunsch D C. Comparative Study of Stock Trend Prediction Using Time Delay, Recurrent and Probabilistic Neural Networks[J]. IEEE Transactions on Neural Networks,1998,9(6):1456-1470.
  • 6[8]Bates J M and Granger C W. Combination of Forecasts[J]. Operational Res. Quart., 1969,20(4):451-468.
  • 7[11]Khotanzad A, Elragal H and Lu Tsun_Liang. Combination of Artificial Neural-Network Forecasters for Prediction of Natural Gas Consumption[J]. IEEE Transactions on Neural Networks,2000,11(2):464-473.
  • 8[12]温州市统计局.温州统计年鉴(2000)[M].北京:中国统计出版社,2000.
  • 9广州市统计局.广州统计年鉴[DB/OL].[2009-12-12].http:∥www.gzstats.gov.cn/..
  • 10六耳银狐.百度百科:马尔萨斯[DB/OL].[2008-11-14].http:∥baike.baidu.com/view/163505.htm.

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