| 基于WNN和FRM模型的流域水文中长期预报 |
| |
| 作者姓名： | WU Li YANG Zhigang ZU Jia |
| |
| 作者单位： | 辽宁工程技术大学矿业学院;辽宁省水文水资源勘测局朝阳分局; |
| |
| 摘 要： | 选取4个前期预报因子,以模糊识别模型对中长期水文现象进行拟合与预测,用小波神经网络计算预测模型权重,以相关系数大于0.90的回归方程作为拟合方程,对流域水文现象进行中长期预测计算与检验。结果表明:该方法具有一定的合理性和简便性。
|
| 关 键 词： | 水文中长期预报 模糊识别 小波神经网络 预报因子 |
Medium and long term hydrologic forecast of watershed based on WNN and FRM model |
| |
| WU Li,YANG Zhigang,ZU Jia.Medium and long term hydrologic forecast of watershed based on WNN and FRM model[J].Journal of water resources and water engineering,2011,22(6):110-114. |
| |
| Authors: | WU Li YANG Zhigang ZU Jia |
| |
| Affiliation: | WU Li1,YANG Zhigang2,ZU Jia2(1.Mining College,Liaoning Technical University,Fuxin 123000,China,2.Chaoyang Branch of Liaoning Hydrology Bureau,Chaoyang 122000,China) |
| |
| Abstract: | The paper selected four forecast factors,combined with wavelet neural network to calculate and forecast the weight of model,used fuzzy optimization model to fit and predict mid and long term hydrological phenomena,and adopted the regression equation with correlation coefficient of more than 0.90 as fit equation to evaluate and verify this process.The result shows that this method is reasonable and simple and can be applied to forecast work. |
| |
| Keywords: | mid and long term hydrologic forecast fuzzy optimization wavelet neural network forecast factors |
| 本文献已被 CNKI 等数据库收录！ |
| 点击此处可从《水资源与水工程学报》浏览原始摘要信息 |
|
点击此处可从《水资源与水工程学报》下载全文 |
