Computer Science ›› 2019, Vol. 46 ›› Issue (6A): 431-435.

• Big Data & Data Mining • Previous Articles     Next Articles

Research on Population Prediction Based on Grey Prediction and Radial Basis Function Network

XU Li-li, LI Hong, LI Jin   

  1. Quality Development Institution,Kunming University of Science and Technology,Kunming 650093,China
  • Online:2019-06-14 Published:2019-07-02

Abstract: For the problem of economic growth and social stability,it is extremely important to accurately predict the population.Therefore,this paper used the total population of Shandong Province over the years to construct a gray prediction model and a radial basis network model,respectively,to simulate the total population of 20 years from 1995 to 2014.And for the limitation of the single model,this paper also used the standard deviation method to redistribute the weights of its forecast results,and built a combination model on the basis of it.The results show that the accuracy of the combined forecasting model is higher than that of the grey model and the radial basis network model,and a short-term forecast of the total population between 2015 and 2025 is made by using the combined forecasting model.

Key words: Combination forecasting methodology, Grey prediction, RBF neural network

CLC Number: 

  • C924
[1]周志刚,万立,陈丽红.灰色混沌神经元网络模型及其短期人口预测[J].系统工程,2012,30(10):118-122.
[2]贾楠,胡红萍,白艳萍.基于BP神经网络的人口预测[J].山东理工大学学报(自然科学版),2011,25(3):22-24.
[3]张海峰,杨萍,李春花,等.基于多模型的西宁市人口规模预测[J].干旱区地理,201336(5):955-962.
[4]王宇熹,汪泓,肖峻.基于灰色GM(1,1)模型的上海城镇养老保险人口分布预测[J].系统工程理论与实践,2010,30(12):2244-2253.
[5]李富荣.改进的动态GM(1,1)模型在人口预测中的应用[J].统计与决策,2013(19):72-74.
[6]SHANG H L,SMITH P W F,BIJAK J,et al.A multilevel functional data method for forecasting population,with an application to the United Kingdom [J].International Journal of Forecasting,2016,30(4):1098-1109.
[7]何思兰,孙红兵.基于灰色预测和BP神经网络模型的云南省人口总量预测研究[J].计算机与数字工程,2016,44(2):193-196,236.
[8]任强,侯大道.人口预测的随机方法:基于Leslie矩阵和ARMA模型[J].人口研究,2011,35(2):28-41.
[9]蒋若凡,姜玉梅,李菲雅.基于灰色PSO-BP人口预测模型的研究与应用[J].西北人口,2011,32(3):23-26.
[10]陈毅华,李永胜,苏昌贵,孙峰华.径向基神经网络模型在人口老龄化预测中的应用—以湖南省为例[J].经济地理,2012,32(4):32-37.
[11]楼旭伟,楼辉波,朱剑锋.基于遗传算法径向基神经网络的交通流预测[J].中国科技论文,2013,8(11):1141-1144.
[12]周泰,叶怀珍,王亚玲.基于灰色径向基函数网络的铁路投资规模组合预测[J].北京交通大学学报(社会科学版),2009,8(4):33-37.
[13]WU J S,LONG J,LIU M Z.Evolving RBF neural networks for rainfall prediction using hybrid particle swarm optimization and genetic algorithm [J].Neurocomputing,2015,148:136-142.
[14]BATES J M,GRANGER C W.Combination of Forecasts [J].Operational Res Ouart,1969,20(4):451-468.
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