计算机与现代化

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基于两种改进人口模型的新生育政策下人口预测与分析#br# ——以西安市为例

  

  1. 1.西北工业大学航天学院,陕西西安710072;2.西北工业大学自动化学院,陕西西安710072;
    3.西北工业大学计算机学院,陕西西安710072
  • 收稿日期:2017-05-13 出版日期:2017-08-31 发布日期:2017-09-01
  • 作者简介:何金阳(1995-),女,内蒙古巴彦淖尔人,西北工业大学航天学院本科生,研究方向:探测制导与控制; 仇鸿超(1996-),男,山东泰安人,本科生,研究方向:飞行器动力; 李林(1996-) ,男,陕西渭南人,西北工业大学自动化学院本科生,研究方向:测控技术与仪器; 王壮(1995-),男,陕西渭南人,西北工业大学计算机学院本科生,研究方向:计算机科学与技术。
  • 基金资助:
    国家级大学生创新训练项目(201610699013)

Population Forecast and Analysis Based on Two Improved Population #br# Models Under New Fertility Policy——Taking Xi’an as an Example

  1. 1. School of Astronautics, Northwestern Polytechnical University, Xi’an 710072, China;

    2. School of Automation, Northwestern Polytechnical University, Xi’an 710072, China;
    3. School of Computer Science and Engineering, Northwestern Polytechnical University, Xi’an 710072, China
  • Received:2017-05-13 Online:2017-08-31 Published:2017-09-01

摘要:

 准确的人口预测是制定人口政策以及经济社会发展战略的重要依据。考虑生育模式对人口发展的影响,对GM(1,1)灰色预测模型及Leslie人口预测模型进行分析,并对这2种模型进行改进。以西
安市为例,分别采用2种改进后的模型,对不同生育模式下未来人口变化规律进行预测。通过分析人口预测结果,在制定人口政策、应对人口问题等方面为当地政府提供意见和建议。

关键词: GM(1, 1)灰色预测模型, Leslie人口预测模型, 生育模式, 人口政策

Abstract:

Precise forecasting of population is the important basis of enacting population policy and development strategy. Taking the influence of fertility pattern on
population development into consideration, this paper analyzed and improved two models of the GM (1,1) gray prediction model and Leslie population forecasting model. Taking Xian
as an example, two improved models were used to forecast the future population changes in different fertility models.By analyzing the conclusion, this paper also gave some
suggestions on enacting population policy and dealing with population problems for local government.

Key words: GM (1,1) gray prediction model, Leslie population forecast model, fertility pattern, population policy

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