摘要
为了更好地对设施蔬菜病害进行预警,分别使用LVQ神经网络、BP神经网络两种算法构建设施蔬菜病害静态预警模型。为了测试两种模型的可行性和适用性,以黄瓜黑星病为例,使用两种神经网络模型进行比较分析。结果发现,两种模型均能够较好、较精确地实现对黄瓜黑星病的预测。其中,BP神经网络模型时间开销更小,在实际运用中更有效。
In order to make better in early warning of facilities vegetable diseases,two kinds of algorithms of LVQ neural network and BP neural network are used to construct static early-warning models of facilities vegetable diseases.In order to test the feasibility and applicability of two models,this paper takes cucumber scab for example and makes comparation of the two models.The result shows that two kinds of models are both able to better and accurately realize the forecasting of cucumber scab.It turns out that BP neural network model,which costs less time,is more effective in practice.
作者
纪思琪
吴芳
JI Si-qi, WU Fang （College of Computer and Information Engineering of Tianjin Agricultural University, Tianjin 300384, China）
出处
《电脑知识与技术》
2016年第4期189-191,196,共4页
Computer Knowledge and Technology
基金
天津市高等学校大学生创新创业训练计划资助（201510061014）
关键词
设施蔬菜病害
预警
LVQ神经网络
BP神经网络
黑星病
facilities vegetable diseases
early warning
LVQ neural network
BP neural network
cucumber scab
