| 河道线变形神经网络预测模型研究 |
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| 引用本文： | 张小峰,许全喜,谈广鸣,石国钰.河道线变形神经网络预测模型研究[J].泥沙研究,2001,30(5):19-26. |
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| 作者姓名： | 张小峰 许全喜 谈广鸣 石国钰 |
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| 作者单位： | 1. 武汉大学
2. 长江水利委员会水文测验研究所, |
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| 基金项目： | 国家自然科学基金重大项目资助 (编号 5 0 0 996 2 0 ) |
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| 摘 要： | 以长江下荆江河段较为典型的石首弯道为研究对象，研究建立了一种基于BP神经网络的河道岸线变形预测模型。计算表明，该模型能较为准确地模拟预测石首弯道进出口段典型断面岸线变化。模拟精度较高，便于应用。
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| 关 键 词： | 河床演变 横向变形 人工神经网络 预测模型 河道岸线变化 |
| 文章编号： | 0468-155X(2001)05-0019-08 |
| 修稿时间： | 2000年11月28 |
Prediction of River Bank-Line Deformation Using Artificial Neural Network |
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| ZHANG Xiao feng ,XU Quan xi ,TAN Guang ming ,SHI Guo yu.Prediction of River Bank-Line Deformation Using Artificial Neural Network[J].Journal of Sediment Research,2001,30(5):19-26. |
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| Authors: | ZHANG Xiao feng XU Quan xi TAN Guang ming SHI Guo yu |
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| Affiliation: | ZHANG Xiao feng 1,XU Quan xi 2,TAN Guang ming 1,SHI Guo yu 2 |
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| Abstract: | With BP artificial neural network, a model is developed to predict river bank-line lateral evolution. The model has been used to a typical case to analyze evolution of Shishou bend in middle Yangtze River. By using the two methods, calculated results show that the model can successfully predict the changes of bank line at both inlet and outlet reaches of Shishou bend. The model is flexible and can be used to predict changes of river bank line. |
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| Keywords: | Fluvial process Lateral evolution Artificial neural network Prediction model |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
