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PREDICTION OF SURFACE SETTLEMENTS INDUCED BY SHIELD TUNNELING: AN ANFIS MODEL (2009)
A new method – fuzzy system combination neural network was used to estimate ground surface settlements. According to the measured data of Shanghai No.2 Subway, and considering various kinds of factors synthetically, an ANFIS fuzzy neural network prediction model was built. Comparing with the prediction results by other three kinds of methods, the validity of theANFIS fuzzy neural network modelwas appraised. Confirmed by the instance, ANFIS fuzzy neural network is valuable in predicting ground settlements induced by shield tunneling.
Reference:
Geotechnical Aspects of Underground Construction in Soft Ground – Ng, Huang & Liu (eds), © 2009 Taylor & Francis Group, London
Geotechnical Aspects of Underground Construction in Soft Ground – Ng, Huang & Liu (eds), © 2009 Taylor & Francis Group, London
Organization:
Department of Civil Engineering, Shanghai University, Shanghai, P.R. China
China
Department of Civil Engineering, Shanghai University, Shanghai, P.R. China
China
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