| 人工神经网络在地表径流预报中的应用 |
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| 引用本文： | 刘清华,史红亮,安书全. 人工神经网络在地表径流预报中的应用[J]. 三峡大学学报(自然科学版), 2007, 29(4): 292-294 |
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| 作者姓名： | 刘清华 史红亮 安书全 |
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| 作者单位： | 1. 淮河水利水电开发总公司,安徽,蚌埠,233001
2. 河海大学,现代农业工程系,南京,210098 |
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| 摘 要： | 为了更加准确地对地表径流进行预测,选择广东省汕尾市南告水库以上流域作为研究对象,构建BP神经网络模型对南告水库的日资料进行径流模拟研究,研究结果表明:人工神经网络可以提高预测精度,且应用前景比较广泛.
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| 关 键 词： | 人工神经网络 地表径流 预测 |
| 文章编号： | 1672-948X（2007）04-0292-03 |
| 修稿时间： | 2007-04-26 |
Application of Artificial Neural Network to Surface Runoff Prediction |
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| Liu Qinghua,Shi Hongliang,An Shuquan. Application of Artificial Neural Network to Surface Runoff Prediction[J]. Journal of China Three Gorges University(Natural Sciences), 2007, 29(4): 292-294 |
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| Authors: | Liu Qinghua Shi Hongliang An Shuquan |
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| Abstract: | In order to predict the surface runoff exactly,a back-propagation(BP) neural networks model is developed for daily runoff simulation.BP neural network model is applied to the upper area of Nangao Reservoir in Shanwei City of Guangdong Province.The results show that the artificial neural network can improve the predicting precision;and it has widespread applicable foreground. |
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| Keywords: | artificial neural network surface runoff prediction |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
