| 人工神经网络在大豆食心虫虫食率预测中的应用 |
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| 引用本文： | 甄丽萍,邓华玲.人工神经网络在大豆食心虫虫食率预测中的应用[J].农业系统科学与综合研究,2011,27(3):263-267. |
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| 作者姓名： | 甄丽萍 邓华玲 |
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| 作者单位： | 东北农业大学工程学院,理学院,黑龙江 哈尔滨150030 |
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| 基金项目： | 黑龙江省博士后基金资助项目(LBH-205033) |
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| 摘 要： | 大豆食心虫是黑龙江大豆的主要害虫之一,虫食率可以作为大豆食心虫发生程度的预测指标,虫食率受越冬基数和气象条件等多种因素的影响,是一个复杂的非线性非正态系统。根据人工神经网络建模的基本原理,以黑龙江省双城市的数据建立了神经网络预测模型,模型的回测与预测精度都比较高,可以作为大豆食心虫虫食率预测的一种新方法。
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| 关 键 词： | 大豆食心虫 虫食率 神经网络 预测 |
Application of the Artificial Neural Network to Forecast the Moth-eaten Ratio of Leguminivora Glycinivorella Mats |
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| ZHEN Li-ping,DENG Hua-ling.Application of the Artificial Neural Network to Forecast the Moth-eaten Ratio of Leguminivora Glycinivorella Mats[J].System Sciemces and Comprehensive Studies In Agriculture,2011,27(3):263-267. |
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| Authors: | ZHEN Li-ping DENG Hua-ling |
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| Institution: | ZHEN Li-ping,DENG Hua-ling(Northeast Agricultural University,harbin 150030,China) |
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| Abstract: | Leguminivora glycinivorella Mats is one of the main pests of heilongjiang soybean,moth-eaten ratio can be as a forecast index.It is influenced by various factors such as wintering base and weather conditions.It is a complex nonlinear non-normal system.According to basic principle of artificial neural network modeling,neural network prediction model based on the data in Shuangcheng city,Heilongjiang province was established.The model prediction and back-test accuracy were both higher.Thus it can be a new pre... |
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| Keywords: | Leguminivora glycinivorella Mats moth-eaten ratio Neural network forecasting |
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