摘要
依据相关文献建立了农业现代化水平评价的指标体系,对人工神经网络的SOFM方法的原理进行了介绍。基于SFOM方法,把山东省17地市农业现代化水平分为发达型、较发达型、发展型和欠发达型4类。把山东省17地市分为4个农业经济区,提出了各经济区相关战略对策。
IThe theory of ANN and SOFM are introduced and the evaluating index system of the level of agricultural modernization is constructed. Based on SOFM method of ANN, 16 evaluating indexes and correlative datum are put to use to make a demonstration on the level of agricultural modernization of 17 cities of Shandong province. 17 cities are classified into developed, quite developed, aeveloping and under deve loping 4 types. The spatial pattern of the agricultural modernizaiton of Shandong province is brought forward and 4 agricultural economy zones are divided . Finally correlative strategy countermeasures of every zone are illustrated .
出处
《水土保持研究》
CSCD
北大核心
2007年第6期438-441,共4页
Research of Soil and Water Conservation
基金
枣庄学院优势学科项目基金
关键词
人工神经网络(ANN)
SOFM方法
农业现代化
战略对策
农业经济区划
山东省
ANN （Artificial Neural Network）
Self-Organizing Feature Map
the modernizaiton of agriculture
strategy countermeasure
agricultural regionalization
Shandong province
