| 用BP神经网络进行作物水分-产量预测研究 |
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| 引用本文： | 赵慧珍,胡浩云. 用BP神经网络进行作物水分-产量预测研究[J]. 华北水利水电学院学报, 2006, 27(2): 17-19 |
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| 作者姓名： | 赵慧珍 胡浩云 |
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| 作者单位： | 河北工程学院,河北,邯郸,056038;河北工程学院,河北,邯郸,056038 |
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| 摘 要： | 根据BP神经网络的基本原理,在平原地区冬小麦灌溉试验资料基础上,建立了冬小麦水分与产量关系的BP-ANN模型,确定了模型的参数.将模型用于描述水分对作物产量的影响,并对作物产量进行预测,预测结果与实际产量基本吻合说明,人工神经网络用于描述作物水分产量关系可以取得较好的效果,其预测的准确性基本能满足生产实践的需求.
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| 关 键 词： | BP神经网络 作物-水模型 产量预测 |
| 文章编号： | 1002-5634（2006）02-0017-03 |
| 收稿时间： | 2005-12-20 |
| 修稿时间： | 2006-02-13 |
Research on Crop Response to Water Model with BP Neural Network |
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| ZHAO Hui-zhen,HU Hao-yun. Research on Crop Response to Water Model with BP Neural Network[J]. Journal of North China Institute of Water Conservancy and Hydroelectric Power, 2006, 27(2): 17-19 |
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| Authors: | ZHAO Hui-zhen HU Hao-yun |
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| Affiliation: | Hebei University of Engineering, Handan 056038, China |
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| Abstract: | Based on irrigation experience data in winter wheat in plain district of Hebei province, a model of wheat response to water with BP neural network is established. The result shows that the model is reliable to describe the relationship between yield and water used in wheat. The model is capable of predicting crop yield and the satisfactory forecast precision is obtained. The research indicates that BP neural network is a suitable method to simulate crop response to water. |
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| Keywords: | BP neural network model of crop response to water yield predicting |
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