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| BP神经网络在烟蚜发生程度预测中的应用 | |
| 引用本文： | 任广伟,王秀芳,王新伟,李晓,张建党,梁其涛.BP神经网络在烟蚜发生程度预测中的应用[J].华北农学报,2008,23(Z2). |
| 作者姓名： | 任广伟 王秀芳 王新伟 李晓 张建党 梁其涛 |
| 作者单位： | 1. 中国农业科学院,烟草研究所,山东,青岛,266101 2. 山东中烟工业公司技术中心,山东,济南,250013 3. 安康市烟草公司,陕西,安康,725000 |
| 基金项目： | 山东省烟草专卖局科技项目(KN90) |
| 摘 要： | 为实现对烟田烟蚜发生程度的预测预报,以12年的历史资料为基础数据,采用BP神经网络方法建立了烟蚜发生程度的预测模型。该模型对待测样本的预测准确度为99.43%,回测准确度为87.36%。所建立的预测模型可提前1个多月对烟蚜发生程度进行预测,为中期预测模型,其预测结果可为烟田蚜虫综合治理提供依据。 |
| 关 键 词： | 烟蚜 发生程度 BP神经网络 预测模型 |
Application of BP Neural Network to Predict Occurrence Degree of Myzus persicae |
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| REN Guang-wei,WANG Xiu-fang,WANG Xin-wei,LI Xiao,ZHANG Jian-dang,LIANG Qi-tao.Application of BP Neural Network to Predict Occurrence Degree of Myzus persicae[J].Acta Agriculturae Boreali-Sinica,2008,23(Z2). | |
| Authors: | REN Guang-wei WANG Xiu-fang WANG Xin-wei LI Xiao ZHANG Jian-dang LIANG Qi-tao |
| Abstract: | Basing on the data of 12 years,the method of BP neural network was applied to establish the prediction model of Myzus persicae occurrence for its prediction and forecast in tobacco field.The model exhibited prediction accuracy of 99.43%,and back prediction accuracy of 87.36%,respectively.The prediction model could predict the occcurence degree of Myzus persicae more than one month in advance,so the middle-term prediction model could be applied in IPM of Myzus persicae in tobacco field. |
| Keywords: | Myzus persicae Occurrence degree BP neural network Prediction model |
| 本文献已被 CNKI 万方数据 等数据库收录！ | |