基于人工神经网络的陕西省城市职能分类探析  

Study on Urban Function Classification of Shaanxi Province Based on SOM

作　　者：靳美娟[1] 

机构地区：[1]宝鸡文理学院灾害监测与机理模拟陕西省重点实验室,陕西宝鸡721013

出　　处：《河南科学》2012年第7期991-994,共4页Henan Science

基　　金：陕西省自然地理学重点学科资助项目(ZK087);宝鸡市科技计划项目(12SF5-2)

摘　　要：基于人工神经网络(ANN)中自组织特征映射网络(SOM)的聚类功能,采用统计年鉴中城市非农行业就业人口的资料,运用MATLAB2010软件的神经网络工具箱,对陕西省10个地级市城市综合职能进行分类,最终将10个地级市分为5类,并对分类结果进行分析和讨论.结果表明,人工神经网络方法实际可行.Based on the clustering function of self-organizing feature map in ANN,the article selects some datus of urban population from the Shaanxi province yearbooks to classify the cities’ functions by using the neural network toolbox in MATLAB 2010.The 10 cities in Shaanxi province are classified into 5 groups according to their comprehensive urban functions.Furthermore,the results of classification are analysed and discussed,which reveals the method is feasible in actuality.

关 键 词：SOM神经网络 城市职能 职能分类 陕西省 

分 类 号：F29[经济管理—国民经济]