摘要
本文以武隆站与江界河1985～1986年汛期(5～10月)的实测数据为资料,利用BP算法,建立了基于人工神经网络的武隆站汛期预报模型,经过1987年的资料检验,同时与线性回归模型相比较得出,该模型预报精度良好,模型稳定可靠。
The paper sets up a runoff forecast model in flood season based on the artificial nerve network by BP algorithm for Wulong hydrometric station, taking the observation data of Wulong and Jiangjiehe hydrometric station during 1985 to 1986. The checking by the data in 1987, and the comparing with the linear regression model at the same time shows the model is reliable and the forecast precision is good.
出处
《东北水利水电》
2003年第8期43-45,共3页
Water Resources & Hydropower of Northeast China
