| 基于人工神经网络的多泥沙洪水预报 |
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| 引用本文： | 苑希民,刘树坤,陈浩.基于人工神经网络的多泥沙洪水预报[J].水科学进展,1999,10(4):393-398. |
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| 作者姓名： | 苑希民 刘树坤 陈浩 |
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| 作者单位： | 中国水利水电科学研究院灾害与环境研究中心, 北京100044 |
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| 摘 要： | 阐述了人工神经网络方法对多泥沙洪水演进的辨识机理,建立神经网络预报模型,采用最小二乘快速收敛法,通过模型联想实现水沙演进预报.研究结果与实测结果吻合良好,体现了人工神经网络的应用价值和发展前景.
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| 关 键 词： | 人工神经网络 智能辨识 多泥沙洪水 洪水预报 |
| 收稿时间： | 1998-06-16 |
| 修稿时间： | 1998-06-16 |
Application of the Artificial Neural Network Method to Forecast High Sediment Percentage Flood |
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| YUAN Xi-min,LIU Shu-Yun,CHEN Hao.Application of the Artificial Neural Network Method to Forecast High Sediment Percentage Flood[J].Advances in Water Science,1999,10(4):393-398. |
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| Authors: | YUAN Xi-min LIU Shu-Yun CHEN Hao |
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| Affiliation: | China Institute of Water Conservancy and Hydroelectric Scientific Research, Beijing 100044, China |
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| Abstract: | In the foun dation of traditional forecasting flood methods,the neural network technology is adopted to forecast flood transfer history with high sediment percentage.Using the neural network method,the intelligent models are setup,and the recognition mechanism of flood with high sediment percentage is explained.The least mean square method is adopted to train intelligent models and through the neural network thinking flood water level,the discharge and sediment percentage are forecasted.There are very important value and far-reaching significance to study the theory and technology of forecasting the flood with high sediment percentage. |
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| Keywords: | neural networks intelligent recognition flood with high sediment percentage flood forecasting |
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