| 人工神经网络模型在白城地区枯季地下水位预测中的应用 |
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| 引用本文： | 姜波,王锋,罗丽燕,赵松源,钟诚. 人工神经网络模型在白城地区枯季地下水位预测中的应用[J]. 东北水利水电, 2010, 28(12): 19-20,42 |
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| 作者姓名： | 姜波 王锋 罗丽燕 赵松源 钟诚 |
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| 作者单位： | 吉林省水文水资源局,吉林,长春,130022;云南省水文水资源局玉溪分局,云南,玉溪,653100;吉林松辽工程监理有限公司,吉林,长春,130021 |
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| 摘 要： | 本文应用人工神经网络BP模型对枯季地下水位进行定量预测。优化得出的BP网络模型不仅拟合精度高,而且预测效果好,这为地下水定量研究提供了新的途径,同时也为白城地区科学合理开发、利用地下水资源提供参考依据。
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| 关 键 词： | 人工神经网络 BP模型 地下水位 预测 |
Application of artificial neural network model in forecasting groundwater level of dry season in Baicheng area |
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| JIANG Bo,WANG Feng,LUO Li-yan,ZHAO Song-yuan,ZHONG Cheng. Application of artificial neural network model in forecasting groundwater level of dry season in Baicheng area[J]. Water Resources & Hydropower of Northeast China, 2010, 28(12): 19-20,42 |
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| Authors: | JIANG Bo WANG Feng LUO Li-yan ZHAO Song-yuan ZHONG Cheng |
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| Abstract: | The paper forecasts quantitatively the groundwater level of dry season by using the artificial neural network BP model.The optimized BP network model has high accuracy and good forecast effect,which provides a new way for quantitative study of groundwater and also offers the reference for scientific and reasonable development utilization of groundwater resources in Baicheng area. |
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| Keywords: | artificial neural network BP model groundwater level forecast |
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