摘要
运用自组织学习联想神经树鉴定小麦品种抗病性，并选取一组标样作为研究对象，结果与实际一致。结果表明，该方法性能良好，可望成为农作物品种抗病性研究的有效手段。
The neural tree model of learning and association by seiforganization for appraising dis-ease resistance of wheat varieties was applied in this study.And a group of samples were col-lected as an object of study. The results were identical with the practical ones. It is showedthat the performance of the neural tree approach is good,and therefore it might be referred toas an effective assistant technique for study on disease resistance of pbnts.
出处
《江西农业大学学报》
CAS
CSCD
1995年第3期300-303,共4页
Acta Agriculturae Universitatis Jiangxiensis
关键词
小麦
品种
抗病性
人工神经网络
鉴定
wheat varieties
disease resistance
artificial neural network
neural tree mod-el of learning and association by self-organization
