人口预测

rén kǒu yù cè
  • population projection
人口预测人口预测
  1. 基于饱和增长趋势模型的福建人口预测

    Population Projection in Fujian Based on Saturated Growth Model

  2. 人口预测随机模型及其参数估计

    Population Projection Stochastic Model with Parameter Estimations

  3. 基于BP神经网络的长江流域人口预测研究

    Study on Population Prediction of Yangtze Basin Based on BP Neural Network

  4. 基于BP神经网络的福州市人口预测模型

    Prediction Model of Population in Fuzhou City Based on BP Neural Network

  5. Logistic模型在人口预测中的应用

    The Application of Logistic ′ s Model in Prediction of the Population

  6. GM(1,1)在人口预测中的应用

    A Application of GM ( 1,1 ) to the Population Forecast

  7. GM(1,1)模型在烟台市人口预测中的应用

    Application of GM ( 1,1 ) Model in Yantai Population Prediction

  8. Logistic模型的参数估计及人口预测

    Parameter evaluation of logistic model and population prediction

  9. 基于优化的GM(1,1)模型在我国人口预测中的应用

    Optimal GM ( 1,1 ) and its Application in Forecasting the Total Population in China

  10. 震害快速评估中基于GM(1,1)模型的人口预测

    Application of GM ( 1,1 ) Model for Population Forecasting in Fast Assessment of Earthquake Disaster

  11. CPPS软件在人口预测中的应用研究

    CPPS Software Research on Population Prediction

  12. 灰色GM(1,1)模型及其改进优化形式在工业,农业,医疗,人口预测,经济,社会等领域的到了很广的应用。

    Improved optimization form of GM ( 1,1 ) make an extensive application in the fields of industry , agriculture , health care , population projections , economic , society and so on .

  13. 此外,本文将R/S分析方法与灰色预测方法引入人口预测中,并基于GIS的角度提出并实现人口预测时在数量预测之后还要对未来人口空间分布模式做预测的观点。

    R / S analyzing method and forecasting by gray gray number are introduced in population-projection . The concept that the future population distribution model should be forecasted after predicting the current population quantity is put forward based on GIS .

  14. 本文基于中国2000年人口普查资料,运用中国人口预测软件(CPPS)对我国未来人口进行分城乡预测。

    By using CPPS and the fifth population census of China , this paper makes a forecast of future population from City-country Dimension .

  15. 为解决这个问题,本文采用MATLAB仿真计算平台进行了实测分析与研究,对LOGISTIC人口预测模型进行了泛化式改进,获得了与其它文献不同的人口环境容纳量。

    In order to solve the problem , the paper analyzes actual measurement and deliberates with utilization of MATLAB simulation platform , makes generalized improvements to LOGISTIC population prediction model was improved , and achieves environment capacities of population which are different from other literature .

  16. 为研究正规教育对人力资本形成的贡献,在人口预测模型的基础上,加入教育入学率信息,建立了中国人口教育状态演化模型(P-E模型);

    In order to investigate the effect of formal education on human capital formation , a P-E model is established based on the forecasting model of population .

  17. 统筹城乡的动态人口预测与分析

    Forecast and Analysis of Population Dynamics of Urban and Rural Areas

  18. 土地利用总体规划中的人口预测研究&以南昌市为例

    Research on Population Forecast in the General Land-use Planning in Nanchang

  19. 广州市2006&2020年人口预测与分析

    Forecasting and Analysis of the Population in Guangzhou City : 2006-2020

  20. 土地利用规划中的人口预测方法综述

    A Summary of Population Prediction Methods in Land Use Planning

  21. 应用空间决策支持系统进行城市人口预测初探

    A research on the population forecast applied by Spatial Decision Support System

  22. 人口预测是编制土地利用总体规划的基础性研究工作。

    Population forcast is a foundational research in land use comprehensive planning .

  23. 组合时间序列方法在长沙人口预测中的应用

    The Application of Time Series Model in Forecasting the Population of Changsha

  24. 特殊区域的人口预测,需要用特殊的方法。

    Forecasting the population of special-area needs special methods to deal with .

  25. 线性组合模型及在人口预测中的应用

    Application of Conjugate Gradient Algorithm in Combining Forecasting Mode of the Population

  26. 基于组合模型的黑龙江省人口预测及分析

    The Analysis and Prediction of Heilongjiang Province Population Based on there Models

  27. 水资源综合评价中典型区人口预测研究

    The Population Prediction Studies of Water Resources Totally Estimated in Typical Region

  28. 通辽市未来25年人口预测与分析

    Forecasting analysis on population in the future 25 years in Tongliao city

  29. 人口预测的灰色增量模型及其应用

    The Increased Grey Model and Its Applications on Population Prediction

  30. 基于数据仓库的人口预测与控制模型的设计

    The design of a population forecast and control model on data warehouse