摘要
在实时洪水预报中采用速推最小二乘法和误差自回归实时校正方法，提高了模型计算精度，实例验证应用效果良好。
in real-time flood forecast, we used the least squares estimates recurrently and autoregressive model Of errors to correct parameters of the model and their predicted value respectively. By using two-stage correction to improve predicted preeision,it has been verified through an example of Dachaoshan catchment on hancangjiang river.And a high accuracy can be obtained.
出处
《水电能源科学》
北大核心
1996年第2期78-83,共6页
Water Resources and Power
关键词
洪水预报
递推最小二乘
误差自回归
校正
linear syetem,least squares estimates recurrently,autoregressive modelof errors,real-time Correction
