| 人工神经网络理论在井渠结合灌区地下水动态预报中的应用 |
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| 引用本文： | 周维博. 人工神经网络理论在井渠结合灌区地下水动态预报中的应用[J]. 水资源与水工程学报, 2003, 14(2): 5-9 |
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| 作者姓名： | 周维博 |
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| 作者单位： | 西北农林科技大学,水利水电科学研究院,陕西,杨凌,712100 |
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| 摘 要： | 地下水动态预报是井渠结合灌区地下水资源研究的重要内容。本文根据地下水位与其影响因素之间的关系 ,建立了人工神经网络模型 ,通过实例演算 ,表明该方法对地下水预报有较高的精度
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| 关 键 词： | 人工神经网络 井渠结合灌区 地下水位预报 |
| 文章编号： | 1008-5858(2003)02-0005-05 |
| 修稿时间： | 2003-03-06 |
Application of artificial neural networks to groundwater level forecast for irrigation district with well and canal |
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| ZHOU Wei bo. Application of artificial neural networks to groundwater level forecast for irrigation district with well and canal[J]. Journal of water resources and water engineering, 2003, 14(2): 5-9 |
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| Authors: | ZHOU Wei bo |
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| Abstract: | Forecast of groundwater level is a important content of groundwater resources evaluation for irrigation district with well and canal. Based on the theory of artificial neural networks, this paper gives the forecasting model of groundwater level. The case study shows that the prediction results of the model have a rather high accuracy. |
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| Keywords: | artificial neural network irrigation district with well and canal groundwater level forecast |
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