| 模拟人工神经网络对小麦吸浆虫发生程度的预测 |
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| 引用本文： | 张映梅,李修炼,赵惠燕.模拟人工神经网络对小麦吸浆虫发生程度的预测[J].西北农林科技大学学报(社会科学版),2003,31(Z1):9-12. |
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| 作者姓名： | 张映梅 李修炼 赵惠燕 |
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| 作者单位： | 西北农林科技大学,植物保护学院,陕西,杨陵,712100 |
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| 基金项目： | 陕西省自然科学基金资助项目(2001BA509B03) |
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| 摘 要： | 根据神经网络建模的基本原理,对陕西省关中地区小麦吸浆虫的发生程度资料进行处理分析,建立了神经网络发生适合度预测模型。结果表明:该方法的预测精度达到100%,为害虫的长期发生预测提供了一种新的方法。
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| 关 键 词： | 神经网络 小麦吸浆虫 发生程度 预测模型 |
| 文章编号： | 1671-9387(2003)S0-0009-04 |
| 修稿时间： | 2003年1月16日 |
A neural network approach to occurrence degree forecasting for wheat midge |
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| ZHANG Ying-mei,LI Xiu-lian,ZHAO Hui-yan.A neural network approach to occurrence degree forecasting for wheat midge[J].Journal of Northwest Sci-Tech Univ of Agr and,2003,31(Z1):9-12. |
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| Authors: | ZHANG Ying-mei LI Xiu-lian ZHAO Hui-yan |
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| Institution: | (College of Plant Protection,Northwest Sci-Tech University of Agriculture and Forestry,Yangling,Shaanxi 712100,China) |
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| Abstract: | In this paper,occurrence degree neural network forecasting model was established by using occurrence degree data of wheat midge of Guanzhong area based on ANN basic principle.The forecasting results show:its prediction accuracy was 80%,and it offers a new method to predict plague of pest. |
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| Keywords: | artificial neural network(ANN) wheat midge occurrence degree forecasting model |
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