| 径流长期预报的人工神经网络方法 |
| |
| 引用本文： | 蔡煜东,姚林声.径流长期预报的人工神经网络方法[J].水科学进展,1995,6(1):61-65. |
| |
| 作者姓名： | 蔡煜东 姚林声 |
| |
| 作者单位： | 中国科学院上海冶金研究所 上海200050 |
| |
| 摘 要： | 提出径流长期预报的人工神经网络方法。运用神经网络的一典型模型──“反向传播”模型,以大伙房水库在补水期的径流状况作为研究对象,尝试了神经网络方法的效果。结果表明,该方法预报成功率较高,容错能力较强,可望成为径流长期预报的有效的辅助手段。
|
| 关 键 词： | 径流预报 长期预报 人工神经网络 “反向传播”模型 |
| 收稿时间： | 1993-08-30 |
Long-Range Runoff Forecast by Artificial Neural Network |
| |
| Cai Yuding,Yao Linsheng.Long-Range Runoff Forecast by Artificial Neural Network[J].Advances in Water Science,1995,6(1):61-65. |
| |
| Authors: | Cai Yuding Yao Linsheng |
| |
| Affiliation: | Shanghai Institute of Metallurgy, Chinese Academy of Sciences Shanghai 200050 |
| |
| Abstract: | The Artificial Neural Network (ANN)method for long-range runoff forecast was dresented in this paper. With the application of one of the typical artificial neural network models "back-propagation" model,we selected the runoff status of Da Huofang Reservoir as an object of study to test the performance of the ANN mehtod approach. As a result,the successful rate is higher and the fault-tolerant ability is stronger. Therefore the ANN method might be referred as an effective assistant technique for long-range runoff forecast. |
| |
| Keywords: | runoff forecast long-range runoff forecast artificial neural network back-propagation model |
| 本文献已被 维普 等数据库收录！ |
| 点击此处可从《水科学进展》浏览原始摘要信息 |
|
点击此处可从《水科学进展》下载全文 |
