首页 | 本学科首页   官方微博 | 高级检索  
     检索      

基于FA-SOM神经网络的农业技术水平省际差异研究
引用本文:周杜辉,李同昇.基于FA-SOM神经网络的农业技术水平省际差异研究[J].科技进步与对策,2011,28(3):117-121.
作者姓名:周杜辉  李同昇
作者单位:西北大学城市与资源学系;
摘    要:采用5大方面的13个指标,构建出区域农业技术水平综合评价体系,引入FA-SOM神经网络模型,对中国农业技术水平进行聚类分析。根据聚类的结果,把农业技术水平分为5个类型,并从总体特征、局域特征两个层面探讨了中国农业技术水平的空间格局及其内部差异。

关 键 词:农业技术水平  FA-SOM神经网络  省际差异  

A Study on the Provincial Differences of Agricultural Technology Level Based on FA-SOM Neural Network
Zhou Duhui,Li Tongsheng.A Study on the Provincial Differences of Agricultural Technology Level Based on FA-SOM Neural Network[J].Science & Technology Progress and Policy,2011,28(3):117-121.
Authors:Zhou Duhui  Li Tongsheng
Institution:Zhou Duhui,Li Tongsheng(Department of Urban and Resources,Northwest University,Xi'an 710127,China)
Abstract:In this paper,the index system on the appraisal of comprehensive agriculture technology level is setting up through thirteen indexes in five aspects,and its level of each province in China is computed by adopting the model of FA-SOM neural network.According to the results,its level is divided into five types,and this article analyses the level of agricultural technology and its internal differences in spatial pattern from the total features and local characteristics.
Keywords:Level of Agriculture Technology  FA-SOM Neural Network  Provincial Differences  
本文献已被 CNKI 万方数据 等数据库收录!
点击此处可从《科技进步与对策》浏览原始摘要信息
点击此处可从《科技进步与对策》下载免费的PDF全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号