| Elman反馈型神经网络模型在灌溉用水量预测中的应用 |
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| 引用本文： | 吴萍,迟道才,王殿武,马涛,刘鑫,孙号茗.Elman反馈型神经网络模型在灌溉用水量预测中的应用[J].沈阳农业大学学报,2007,38(4):586-589. |
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| 作者姓名： | 吴萍 迟道才 王殿武 马涛 刘鑫 孙号茗 |
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| 作者单位： | 1. 沈阳农业大学,沈阳,110161
2. 辽宁省水文水资源勘测局,沈阳,110003 |
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| 基金项目： | 辽宁省教育厅资助项目;引进国际先进农业科技计划(948计划);辽宁省优秀青年科研人才培养基金 |
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| 摘 要： | 灌溉用水量的预测对灌区的灌溉管理起着重要的作用。运用神经网络中Elman反馈型神经网络建立了灌溉用水量预测模型,模型输入层神经元数目为4,输出层神经元数目为1,隐含层神经元数目确定采用试验法,最终确定为10。预测结果表明:该方法与传统的预测方法相比,具有网络稳定性高,训练误差曲线比较平滑,模型预报精度较高等优点。
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| 关 键 词： | 灌溉用水量 神经网络 Elman模型 辽阳灌区 |
| 文章编号： | 1000-1700（2007）04-0586-04 |
| 修稿时间： | 2007-02-12 |
Elman Neural Network Model's Application on the Forecast of Irrigation Water Use |
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| WU Ping,CHI Dao-cai,WANG Dian-wu,MA Tao,LIU Xin,SUN Hao-ming.Elman Neural Network Model''''s Application on the Forecast of Irrigation Water Use[J].Journal of Shenyang Agricultural University,2007,38(4):586-589. |
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| Authors: | WU Ping CHI Dao-cai WANG Dian-wu MA Tao LIU Xin SUN Hao-ming |
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| Institution: | 1.Shenyang Agricultural University, Shenyang 110161, China; 2.Liaoning Province Hydrographic and Water Resources Prospecting Bureau,Shenyang 110003,China |
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| Abstract: | The forecast of irrigation water volume plays an important role in the irrigation management.This paper used Elman neural network to establish the model of irrigation water use prediction,having four importing units and exporting units.The determination of concealed level neural single number used the cut-and-try method,ten units were used.The forecast result showed that the model had high network stabilization,the training error curve was smoother and it had high forecasting precision compared with the traditional forecast method. |
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| Keywords: | irrigation water use neural network Elman model Liaoyang irrigation area |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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