摘要
把反向传播(B-P)神经网络运用于植物病害——晚稻普通矮缩病流行趋势的预报研究,拟合率较优,而且方法性能良好,可作为植物病害流行趋势预报的一种有效的辅助手段。
Prevaling trend of dwarf virus of late rice was analysed by the back-propagation neural network. The fitting rate reaches 100%. The results show that the performance of the neural network method is good, and therefore it may be referred to as an effective assistant technique for the forecast of plant disease.
出处
《上海农业学报》
CSCD
1993年第3期62-65,共4页
Acta Agriculturae Shanghai
关键词
水稻
矮缩病
人工神经网络
晚稻
Rice
Dwarf virus
Artificial neural network
Back-propagation model
