摘要
针对人口与经济系统提出自适应耦合协调度与自适应协调区间,借助RBF网络学习算法实现了银川和石嘴山两市的人口与经济系统协调发展的预警策略与影响因素分析.首先,通过引入自适应耦合协调度与自适应协调区间,形成人口与经济系统发展关系的预警策略;其次,结合影响人口与经济系统的二级因子、自适应协调度,利用三层网络学习模型,得到影响人口与经济系统耦合协调发展的关键因子并予以分析,在此基础上,对关键因子加以干预和控制;最后,将本文所得方法和结论用于银川、石嘴山两市人口与经济系统的耦合协调分析,验证了本文模型与算法的实用性和有效性.
This paper proposes the adaptive coupling coordination degree and adaptive coordination interval for the population and economic system,then employs the RBF network learning algorithm to realize the warning strategy and the analysis of influencing factors for the coordinated development between population and economic system for Ningxia s Yinchuan and Shizuishan.First,the adaptive coupling coordination degree as well as the adaptive coordination interval is introduced to formulate an adaptive warning strategy for the development relationship between population and economic system.Second,a three-layer network learning model is employed to determine and analyze the key factors affecting the coupling and coordinated development between population and economic system.Finally,the approach proposed in this paper is applied to Yinchuan and Shizuishan,based on which key factors are determined and interpreted for the coupling and coordinated development between population and economic system in these two cities.
作者
张光晨
郝鹏飞
宗鑫
ZHANG Guangchen;HAO Pengfei;ZONG Xin(School of Mathematics and Information Science,North Minzu University,Yinchuan 750021;School of Economics,North Minzu University,Yinchuan 750021)
出处
《南京信息工程大学学报（自然科学版）》
CAS
北大核心
2021年第5期611-619,共9页
Journal of Nanjing University of Information Science & Technology（Natural Science Edition）
基金
宁夏自然科学基金(2020AAC34)
中央高校基本科研业务费资助项目(2020XYSJJ01)。
关键词
人口与经济系统
耦合协调度
RBF神经网络
因子贡献度
population and economic system
coupling and coordination degree
RBF neural network
factor contribution
