| 神经网络模拟降雨径流过程 |
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| 引用本文： | 杨荣富,丁晶,刘国东.神经网络模拟降雨径流过程[J].水利学报,1998,29(10):69-73. |
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| 作者姓名： | 杨荣富 丁晶 刘国东 |
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| 作者单位： | 四川联合大学水利系 |
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| 摘 要： | 本文根据水文现象的特性建议了两个网络模型——实时输出反馈网络(ROBIN)和奢侈输出反馈网络(ADONIS)，并与水文模拟网络(HYMN)和传统水箱(TANK)模型进行了比较.结果表明建议的两个网络模型是可行的.
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| 关 键 词： | 神经网络，降雨径流模拟，实时反馈. |
Neural networks for rainfall runoff modeling |
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| Yang Rongfu\ Ding Jing\ Liu Guodong.Neural networks for rainfall runoff modeling[J].Journal of Hydraulic Engineering,1998,29(10):69-73. |
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| Authors: | Yang Rongfu\ Ding Jing\ Liu Guodong |
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| Affiliation: | Sichuan Union university |
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| Abstract: | In this paper, two types of neural networks for rainfall runoff modeling are suggested: real outputs back feeding to input layer network(ROBIN) and additional output neuron back feeding input layer system (ADONIS). They are compared with HYMN(a hydrologically based neural network) and TANK(a lumped conceptual water buckets model). The results show that the proposed network models can reasonably simulate daily runoff series. |
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| Keywords: | neural network \ rainfall runoff modeling \ real back feeding |
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