首页> 中文期刊> 《科技进步与对策》 >基于FA-SOM神经网络的农业技术水平省际差异研究

基于FA-SOM神经网络的农业技术水平省际差异研究

         

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.%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 FASOM 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.

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