摘要
通过对土石坝渗流的成因分析 ,应用人工神经网络原理 ,并结合某土石坝的实测资料建立了渗流监控模型 ,给出了模型的输入输出因子和模型结构 .该模型具有再学习能力 ,在应用过程中 ,可以用新的观测资料对模型不断地进行学习训练 ,以提高模型的精度 .
By use of the artificial neural network, a seepage monitoring model for earth rockfill dams is established in combination with the observed data of an earth rockfill dam and through the analysis of the cause of seepage. Its input factor, output factor and structure are presented. The calculation results show its effectiveness. The model can be trained sequentially with new observed data in further application, so the the accuracy of the model can be improved.
出处
《河海大学学报（自然科学版）》
CAS
CSCD
北大核心
2001年第2期79-82,共4页
Journal of Hohai University(Natural Sciences)
关键词
人工神经网络
土石坝
渗流
监控模型
artificial neural networks
earth rockfill dam
seepage
monitoring model
