摘要
针对径流量长期变化的因果关系复杂特性,常规的中长期水文预报模型又很难满足精度要求,提出了基于BP神经网络的来水量预测模型。结合实际径流数据,验证了模型的预报精度,可用来进行中长期水文预报。
For long-term changes in runoff causal complex, conventional long-term hydrological forecasting model was very difficult to meet the accuracy requirements, so the paper proposed an inflow forecasting model based on BP neural network. The actual runoff data was used to verify the prediction accuracy of the model. The model can be used for long-term hydro-logical forecasting.
出处
《水科学与工程技术》
2014年第6期43-46,共4页
Water Sciences and Engineering Technology
关键词
人工神经网络
BP模型
来水量
预测
artificial neural network
BP model
inflow
forecasting
