摘要
基于MATLAB软件,建立BP神经网络模型,以盘龙河干流上下游水文站月均流量和水位为研究对象,对人工神经网络研究方法在水文预测中的应用进行了初步尝试。结果表明该方法预测成功率较高,并分析了该方法在预测过程中的优缺点。
BP neural network was established based on MATLAB software. Taking the average monthly flow and level data from the upstream and downstream hydrological stations on Panlong River as research targets, trial application of artificial neural network method in hydrological prediction was conducted. The results demonstrate high rate of successand. The advantages and disadvantages of this prediction method were also discussed.
出处
《广西水利水电》
2011年第2期31-33,共3页
Guangxi Water Resources & Hydropower Engineering
关键词
人工神经网络
水文预测
MATLAB
盘龙河
Artificial neural network
hydrological prediction
MATLAB
Panlong River