摘要
根据区域经济学的相关理论,选取了8个与临汾市县域经济发展水平关系密切的指标,在BP神经网络工具箱的支撑下,构建临汾市县域经济发展水平的BP神经网络评价模型,并通过对频数分布特征及反映区域差异的总体指标的分析,表明临汾市县域经济发展水平空间分异显著.
Application of ANN theory and method, adopting 8 economic indexes, based on the BP neural network toolbox, the authors developed BP neural network model in economic development level evaluation. Based on the regional economics and the BP neural network toolbox, the BP neural network mode of economic development level evaluation was developed adopting eight economic indexes. By analysing the frequency distribution features and the overall index of reflecting regional differences, the differences of spatial distribution on economic development level of counties in Linfen are presented.
出处
《山西师范大学学报（自然科学版）》
2013年第2期102-107,共6页
Journal of Shanxi Normal University(Natural Science Edition)
基金
山西省青年科技基金项目资助(2010021028-1)
关键词
县域经济
BP神经网络
临汾市
BP neural network
economies of county areas
Linfen
