摘要
介绍了人工神经网络(ANN)的主要特点及误差反向传播网络(BP)的工作原理。综述了人工神经网络在植物病虫害的诊断、虫害和病害流行预测等方面的应用研究进展,并讨论了提高人工神经网络预测精度应注意的问题。
Main characteristics of Artificial Neural Network (ANN) and the principle of back-propagation algorithm (BP) were introduced. The application of ANN in diagnosis and forecasting of plant disease and insect was also summarized. Some view points that should be paid attention to for the improvement of prediction precision were discussed in the end.
出处
《安徽农业科学》
CAS
北大核心
2006年第23期6237-6238,共2页
Journal of Anhui Agricultural Sciences
基金
淮阴师范学院青年教师基金(05HSQN058)