水资源与水工程学报2011，Vol.22Issue(6)：110-114,5.
基于WNN和FRM模型的流域水文中长期预报
Medium and long term hydrologic forecast of watershed based on WNN and FRM model
吴丽 1杨志刚 2祖佳2
作者信息
- 1. 辽宁工程技术大学矿业学院,辽宁阜新123000
- 2. 辽宁省水文水资源勘测局朝阳分局,辽宁朝阳122000
- 折叠
摘要
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.关键词
水文中长期预报/模糊识别/小波神经网络/预报因子Key words
mid and long term hydrologic forecast/fuzzy optimization/wavelet neural network/forecast factors分类
天文与地球科学引用本文复制引用
吴丽,杨志刚,祖佳..基于WNN和FRM模型的流域水文中长期预报[J].水资源与水工程学报,2011,22(6):110-114,5.
