科技进步与对策
科技進步與對策
과기진보여대책
Science & Technology Progress and Policy
2011年
3期
117~121
,共null页
农业技术水平 FA-SOM神经网络 省际差异
農業技術水平 FA-SOM神經網絡 省際差異
농업기술수평 FA-SOM신경망락 성제차이
Level of Agriculture Technology; FA-SOM Neural Network; Provincial Differences
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。
採用5大方麵的13箇指標,構建齣區域農業技術水平綜閤評價體繫,引入FA-SOM神經網絡模型,對中國農業技術水平進行聚類分析。根據聚類的結果,把農業技術水平分為5箇類型,併從總體特徵、跼域特徵兩箇層麵探討瞭中國農業技術水平的空間格跼及其內部差異。
채용5대방면적13개지표,구건출구역농업기술수평종합평개체계,인입FA-SOM신경망락모형,대중국농업기술수평진행취류분석。근거취류적결과,파농업기술수평분위5개류형,병종총체특정、국역특정량개층면탐토료중국농업기술수평적공간격국급기내부차이。
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.
