摘要
针对目前径流预测模型精度偏低的现状,提出了灰色神经网络预测模型,充分发挥了灰色理论的少量数据建模和神经网络能够逼近任意复杂函数的优点,并将该模型应用于东江水库年径流预测.结果证明,该模型预测精度更高,实用性更强.
In view of the low precision of the runoff prediction model at present,grey neural network predication model is proposed,which features a few data modeling based on the grey theory and the approximation of neural network to any complex functions.The model is applied to the prediction for the annual runoff into Dongjiang reservoir,and the result shows that this model is of high precision and practical value.
出处
《华北水利水电学院学报》
2012年第2期43-45,共3页
North China Institute of Water Conservancy and Hydroelectric Power
基金
河南省教育厅自然科学研究计划项目(2010B570002)
华北水利水电学院高层次人才科研启动项目资助(200821)
