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《Engineering of Surveying and Mapping》 2015-01
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Application of neural network merging model to dam safety monitoring

ZHANG Fan;HU Wu-sheng;School of Surveying Engineering,Southeast University;  
In order to improve the prediction accuracy and test the generalization ability of the dam safety monitoring model,the statistical model,the BP neural network model and the genetic neural network model are studied.The merging models are proposed based on these two kinds of neural network.According to the long-term deformation observation data of an arch dam,the models mentioned above are calculated.The results show that the merging models have a higher prediction accuracy and a better generalization ability compared to the other models.
【Fund】: 江苏省普通高校研究生科研创新计划项目(CXLX11_0143)
【CateGory Index】: TV698.1;TP183
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