| 具有河网水沙运动特点的人工神经网络模型 |
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| 引用本文： | 李义天,李 荣.具有河网水沙运动特点的人工神经网络模型[J].水利学报,2001,32(11):0001-0008. |
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| 作者姓名： | 李义天 李 荣 |
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| 作者单位： | 1. 武汉大学
2. 上海浦东新区水利局, |
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| 基金项目： | 本文得到国家自然科学基金委和水利部重大研究项目资助(59890200) |
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| 摘 要： | 本文将人工神经网络模型与河网水沙连续方程联系，建立了具有河网水沙运动特点的人工神经网络模型，赋予神经网络内部参数物理概念。该模型的特点是对河道地形要求不高，能够满足水沙输移实时预报的要求。利用所建模型对长江中游荆江及洞庭湖区水沙运动规律进行模拟，结果表明该模型能够较好地反映河网水沙输移规律。
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| 关 键 词： | 河网 神经网络 水沙运动 |
| 文章编号： | 0559-9350(2001)11-0001-07 |
| 修稿时间： | 2000年10月8日 |
A neural network model with dynamic characteristics |
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| LI Yi-tian,LI Rong.A neural network model with dynamic characteristics[J].Journal of Hydraulic Engineering,2001,32(11):0001-0008. |
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| Authors: | LI Yi-tian LI Rong |
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| Affiliation: | 1.Wuhan University; 2.Pudong Bureau of Water Resources,Shanghai |
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| Abstract: | The neural network model is combined with conservation equations of flow and sediment for river network to establish a new neural network model with dynamic characteristics. The model can be used for real time prediction of flow and sediment transport in multiple connected river channels and is suitable for the area where topography map is not sufficient. The model is applied to simulate the flow and sediment transport in Jingjiang River and Dongting Lake and good agreement between computational results and field measurements is obtained. |
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| Keywords: | multiple connected channels neural network flow and sediment transport |
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