| 基于神经网络的受灾面积预测精度研究——以襄樊市小麦条锈病发病面积为例 |
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| 引用本文： | 张静.基于神经网络的受灾面积预测精度研究——以襄樊市小麦条锈病发病面积为例[J].襄樊学院学报,2004,25(2):23-25. |
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| 作者姓名： | 张静 |
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| 作者单位： | 襄樊学院,物理学系,湖北,襄樊,441053 |
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| 基金项目： | 湖北省教育厅科研资助项目(2001D69001) |
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| 摘 要： | 利用人工神经网络技术,根据襄樊市历年小麦受灾面积数量对襄樊市小麦受灾面积进行预测,并根据有关专业知识讨论如何通过增加输入单元提高中长期预测精度.
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| 关 键 词： | 神经网络 预测 受灾面积 |
| 文章编号： | 1009-2854(2004)02-0023-03 |
| 修稿时间： | 2003年12月27 |
A Study of Improving Precision on Forecasting the Disaster Area of Crops Based on Artificial Neural Network--Taking the Disaster Area of Crops in Xiangfan City for Example |
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| ZHANG Jing.A Study of Improving Precision on Forecasting the Disaster Area of Crops Based on Artificial Neural Network--Taking the Disaster Area of Crops in Xiangfan City for Example[J].Journal of Xiangfan University,2004,25(2):23-25. |
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| Authors: | ZHANG Jing |
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| Abstract: | A new method, which is based on artificial neural network, has high precision, and is used to forecast the disaster area of crops in this paper. The methods of improving the precision of long prediction by adding inputs is also discussed. |
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| Keywords: | BP neural network Forecasting Disaster area of crops |
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