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Seepage Pressure Neural Network Monitoring Model for High Slope Considering the effect of Rainfall |
HUANG Ming1,LIU Jun2 |
(1.School of Civil Engineering, Hefei University of Technology, Hefei 230009, China; 2.School of Naval Architecture, Ocean and Civil Engineering, Shanghai Jiaotong University, Shanghai 200240, China)
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Abstract In order to describe the seepage pressure regular pattern of high slope affected by rainfall, and get to know its safety state, integral rainfall factor was presented into these analysis. The monitoring model frame based on Radial basis function (RBF) artificial neural network was constructed considering the integral rainfall factor. RBF centers were confirmed by the fuzzy cmeans algorithm (FCM) with the observed data. Application shows that the integral rainfall factor can effectively reflect the rainfall effect, and the monitoring model achieve good training and forecasting results.
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Received: 05 November 2012
Published: 30 October 2013
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