摘要
利用神经网络的原理,结合500pb西太平洋副热带高压以及江苏省通州市稻纵卷叶螟发生程度的数据,建立了该地的神经网络中期预警模型,结果表明,这一方法是可行的,同时也说明了对分级量这样的离散数据可以直接进行建模预测.文中还讨论了其研究和应用前景.
Using the data of historical occurrence level of rice leaf roller in Tongzhou city ,Jiangsu Province,and the west pacific subtropical high pressure at 500 pb, the predictive warning system is established according to the principle of neural network. The accuracy in 75-100% obtained by examining tests shows the feasibility of the system. The prospects for further research and application are discussed.
出处
《生物数学学报》
CSCD
2003年第1期93-97,共5页
Journal of Biomathematics
基金
"九五"国家重大科技攻关计划资助项目(96-005-01-01-06)的部分内容
关键词
预警
神经网络
稻纵卷叶螟
Predictive warning system
Neural network
Cnaphalocrocis medinalis Guenee
