Prediction of Seepage Quantities of Earthfill Dam Foundation Based on Artificial Neural Network
In artificial neural network(ANN)method, the information treatment of the network are finished through interaction of neurones of the network.There are a series of advantages in the methodology,such as high degree non-linear,self-adaptatinn,self-learning,etc.Therefore the ANN method is used widely in the fields of prediction of physical quantities.ln most cases, seepage equations show strong non-linear characteristics. This paper presents and establishes an ANN model based on the training method of learning into groups.Combining the practice of Xixia Researvoir, application of the ANN model to prediction of seepage quantities of the dam foundation is studied. There are high degree accuracy in the prediction result through using the ANN method.The results demonstrate that this method is widely available for the fields of dam safety monitoring and operation.
earthfill dam seepage learning into groups neural networks prediction
Hui PENG Bin TIAN
Key Laboratory of Geological Hazards on Three Gorges Reservoir Area, Ministry of Education China Thr College of Civil & Hydropower Engineering,China Three Gorges University, Yichang 443002,China
国际会议
长沙
英文
2044-2047
2010-03-13（万方平台首次上网日期，不代表论文的发表时间）