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

作　　者：吴丽[1] 杨志刚 祖佳 

机构地区：[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

出　　处：《水资源与水工程学报》2011年第6期110-114,共5页Journal of Water Resources and Water Engineering

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。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 

分 类 号：P338[天文地球—水文科学]