沈阳农业大学学报2012，Vol.43Issue(1)：102-105,4.
无站条件下BP神经网络年径流量预测模型研究
The BP Network Prediction Model for Annual Runoff for Lacking of Hydrological Station
摘要
Abstract
In connection with the problem of runoff prediction of river section for lacking of station, with the targeted impact factor the annual runoff prediction model was established taking Tieling station of Liao River mainstream as the imaginary example which used improved BP algorithm of Artificial Neural Network - adaptive learning rate algorithm and Matlab Toolbox as the tool. The error met the requirement after forty—eight times training.Take the measured data from 2004 to 2006 as test sample to simulate and verify the model accuracy.The simulation result showed that the prediction of the three years met the requirement and the model could be used in annual runoff prediction on any section of river.关键词
无站条件/BP预测模型/Matlab工具箱/辽河干流Key words
lacking of hydrological station/BP prediction model/matlab toolbox/the main stream of Liao River分类
建筑与水利引用本文复制引用
周林飞,康萍萍,李波..无站条件下BP神经网络年径流量预测模型研究[J].沈阳农业大学学报,2012,43(1):102-105,4.基金项目
国家自然科学基金面上资助项目(50879046) （50879046）
