基于BP神经网络的中国城镇化质量差异研究  

Quality Difference of Urbanization in China based on BP Neural Network

作　　者：刘学[1] 孙泰森[1] 

机构地区：[1]山西农业大学资源环境学院,山西太谷030801

出　　处：《湖北农业科学》2015年第1期229-234,共6页Hubei Agricultural Sciences

摘　　要：改革开放以来,中国的城镇化进程快速推进,在城镇化快速发展的同时,也产生了诸多问题,城镇化质量状况逐渐受到高度重视。为探清中国城镇化质量状况,通过构建指标体系,应用BP神经网络方法,对中国31个省级行政区(包括直辖市和自治区)的城镇化质量状况进行了差异研究和分析,并提出了具有针对性和可行性的建议。Since the reform and opening up, urbanization has been proceeding rapidly in China. Some problems generated during this period and the urbanization quality attracted great attention. To clarify the urbanization quality in China, the index system was built, BP neural network was used to study the urbanization quality in 31 provincial-level administrative regions in China, and suggestions were put forward.

关 键 词：BP神经网络 城镇化质量 指标体系 建议 中国 

分 类 号：F291.1[经济管理—国民经济]