摘要
深入考察河北省11个地级市农业发展现状,从自然、社会、经济和环境等方面选取了17项指标,运用人工神经网络(ANN)的理论和方法,构建ANN模型中的BP网络对各地级市农业质量进行评价,在此基础上与实际相结合,将11个地级市划分为3种农业发展类型,并有针对性地对各区域农业建设条件做简要分析。
Thoroughly inspects the agricultural development present situation of all the 11 prefectures in Hebei Province, choosing seventeen indicators from aspects of nature, society, economy, environment; furthmore, On the basis of level evaluation techniques, application of ANN theory and method, the BP neural network model were developed. Finally, the 11 prefectures were classified into there clusters and analyzed briefly.
出处
《河北农业科学》
2008年第1期83-85,共3页
Journal of Hebei Agricultural Sciences
基金
河北省社科规划研究项目
河北省网络城镇体系模式与区域城乡一体化研究(200303022)
关键词
河北省
地级市
农业质量
人工神经网络
BP网络
MATLAB
Hehei Province
Agricultural development quality
Artificial neural networks
BP neural network model
Matlab
