| 挑流泄洪雾化影响范围的人工神经网络模型预测 |
| |
| 引用本文： | 戴丽荣,张云芳,张华,刘媛媛.挑流泄洪雾化影响范围的人工神经网络模型预测[J].水利水电技术,2003,34(5):7-9. |
| |
| 作者姓名： | 戴丽荣 张云芳 张华 刘媛媛 |
| |
| 作者单位： | 天津大学建筑工程学院,天津,300072 |
| |
| 摘 要： | 在泄洪雾化机理研究的基础上，以BP神经网络为基础，研究建立了挑流泄洪雾化神经网络模型，并用网络模型预测出拉西瓦水电站不同水位和宣泄洪量下的雾化影响范围，泄洪雾化是宣泄洪量、水位差、泄洪孔口形式等多因素相互作用的结果，具有明显的非线性输入、输出关系。
|
| 关 键 词： | 神经网络模型 泄洪雾化 预测 拉西瓦水电站 泄洪量 |
| 文章编号： | 1000-0860(2003)05-0007-03 |
| 修稿时间： | 2003年3月13日 |
An Artificial Neural Network Model of Flood Discharge Atomization Prediction of Hydropower Station |
| |
| Dai Lirong,Zhang Yunfang,Zhang Hua,Liu Yuanyuan.An Artificial Neural Network Model of Flood Discharge Atomization Prediction of Hydropower Station[J].Water Resources and Hydropower Engineering,2003,34(5):7-9. |
| |
| Authors: | Dai Lirong Zhang Yunfang Zhang Hua Liu Yuanyuan |
| |
| Abstract: | The atomization of flood discharge is dangerous to the stability of high side slope.To guarantee the safe operation of power station s,it is much valuable to predict the influence scope of flood discharge atomization.Based on the flood discharge atomization mechanisms ,this paper established a BP neural network method for hydropower station trajectory flood discharge atomization.With the neural network model a hydropower station atomization influence scope has been predicted under the different water heads and flow rates.By compare with the prototype observation data,it is shown that the calculation result of artificial neural network model is in rather good agreement with observation data.So it offers a new method to study flood discharge atomization. |
| |
| Keywords: | artificial neural network model flood discharge atomization prediction Laxiwa Hydropower Station |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
