| 基于人工神经网络的刚竹毒蛾发生面积的预测模型 |
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| 引用本文： | 罗盛健. 基于人工神经网络的刚竹毒蛾发生面积的预测模型[J]. 华东昆虫学报, 2006, 15(1): 37-39 |
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| 作者姓名： | 罗盛健 |
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| 作者单位： | 尤溪县森林病虫害防治检疫站,福建,尤溪,365100 |
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| 摘 要： | 根据神经网络的基本原理,结合福建省尤溪县气象因子及刚竹毒蛾发生面积的实测数据,建立神经网络模型。结果表明:所建立的BP神经网络模型,具有满意的拟合精度和预测精度。2个预留调查点的平均预测精度达96.55%,预测准确率为100%。
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| 关 键 词： | 刚竹毒蛾 神经网络 发生面积 预测预报 |
| 文章编号： | 1005-1694(2006)01-0037-03 |
| 收稿时间： | 2005-12-20 |
| 修稿时间： | 2005-12-20 |
Forecast model of Panatar phyllostachysae occurrence area based on neural network |
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| LUO Sheng-jian. Forecast model of Panatar phyllostachysae occurrence area based on neural network[J]. Entomological Journal of East China, 2006, 15(1): 37-39 |
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| Authors: | LUO Sheng-jian |
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| Affiliation: | Forestry Disease and Pest Control and Quarantine Station of Youxi County, Fujian, Youxi 365100, China |
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| Abstract: | Based on the principle of network,combined with climatic data and actural Panatar phyllostachysae occurrence area in Youxi County,Fujian Province,the occurrence area forecast model of P.phyllostachysae was established.The results showed that the established neural network model was good at both simulating and forecasting.For 2 preset chosen,its forecast precision was 96.55% and accuracy was 100%. |
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| Keywords: | Panatar phyllostachysae neural network occurrence area forecast |
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