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《Journal of Hydraulic Engineering》 2001-06
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Neural network of phase space and its application in dam safety monitoring

XU Hong\|zhong\+1, WU Zhong\|ru\+1, LI Xue\|hong\+1 (1 Hohai University,Nanjing\ 210098,China)  
Combining the chaos theory with neural network theory,a fuzzy network model of phase space for analyzing the observation data of dam monitoring is established.The analysis on the horizontal displacements of a gravity dam is given as an example for the application of the model.First,after reconstruction of phase space of measured time series,the correlation dimension is derived,which shows the chaos effect lies in the time series of the horizontal displacement.According to the phase point of measured time series,fuzzy neural network model of phase space is built.The result shows that the prediction according to this model is more precise than that of regression model.
【CateGory Index】: TV64
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