基于BP人工神经网络的广东省县域经济发展差异  

Analysis of County Economic Development Disparity in Guangdong Province Based on BP Artificial Neural Network

作　　者：周柳青[1] 千庆兰[1] 吴莹[1] 郭冠华[1] 

机构地区：[1]广州大学地理科学学院,广东广州510000

出　　处：《安徽农业科学》2011年第32期20074-20075,共2页Journal of Anhui Agricultural Sciences

基　　金：国家自然科学基金项目(41071078);广东省自然科学基金项目(9151008901000187);广东高校人文社科基地重大项目(09JDXM79017)

摘　　要：以2009年广东省67个县(市)为研究对象,从经济总量、经济水平、产业结构、发展速度和利用外资5个方面,选取各县(市)的GDP、工业总产值等17个指标,构建评价指标体系,运用BP人工神经网络方法,对广东省县域经济发展差异进行综合评估。结果表明:目前广东省县域经济发展水平差异显著,呈现明显地由珠江三角洲地区向外围及粤东、粤西和粤北山区递减的格局。BP神经网络的评价结果可以较好地模拟县域经济发展差异,与传统研究方法相比,能有效避免主观的权重确定带来的误差,提高测度的准确性。The 67 counties（or cities） of Guangdong Province in 2009 is selected as the object of study in this article.To make an index system,it is selected 17 indicators like as GDP,industrial output of the county（city） from five aspects,including the total economy,economic development,industrial structure,development speed and the foreign investment.The author evaluates the disparity of county economic development in Guangdong Province comprehensively by the BP artificial neural network.The results show that at present,the level of county economic development in Guangdong Province is still decreasing significantly from the Pearl River Delta Region to the Periphery,Eastern,Western and Northern of Guangdong.The evaluation results of BP neural network can be better simulated disparity in county economic development,compared with traditional research methods,the BP neural network can effectively avoid the errors by making weight subjectively,and to improve measurement accurately.

关 键 词：县域经济 BP人工神经网络 空间差异 广东省 

分 类 号：F320.2[经济管理—产业经济]