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dc.contributor.author李祚泳
dc.contributor.author彭荔红
dc.date.accessioned2016-05-17T03:01:48Z
dc.date.available2016-05-17T03:01:48Z
dc.date.issued1999
dc.identifier.citation生态学报,1999,(5):171-174
dc.identifier.issn1000-0933
dc.identifier.otherSTXB199905028
dc.identifier.urihttps://dspace.xmu.edu.cn/handle/2288/108537
dc.description.abstract选取与病虫害有关的因子作为样本的输入特征,建立了农业病虫害年分类预测的b-P人工神经网络模型。该方法应用于稻瘟病的预测建模结果的拟合率为100%,预留样本检验报准率为83%。
dc.description.abstractA model is developed for the classified prediction of agricultural plant diseases and insect pests using B P artificial neural network with factors related to agricultural plant diseases and insect pests as input features of sample.The results of prediction to rice blast show that the qualified retes of fitting and predicting using this model acquire 100% and 33.3%,respectively.
dc.description.sponsorship:四川省应用科学研究基金
dc.language.isozh_CN
dc.subject人工神经网络
dc.subjectB-P算法
dc.subject病虫害
dc.subject预测
dc.subject农业
dc.subjectartificial neural network
dc.subjectB P algorithm
dc.subjectdiseases and insect pests
dc.subjectprediction
dc.subjectagriculture
dc.title基于人工神经网络的农业病虫害预测模型及其效果检验
dc.title.alternativePrediction model of agricultural plant diseases and insect pests based on artificial neural network and its verification
dc.typeArticle


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