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Prediction of Settlement of Shallow Foundation on Cohesionless Soil Using Artificial Neural Network
In this paper, Artificial Neural Network (ANN) has been used effectively to predict the settlement of shallow foundation on cohesionless soil. Using 199 test data which have been collected from various published literature, an ANN model has been built. A model equation for the determination of shallow foundation settlement on cohesionless soil has been developed from the ANN model. Sensitivity analysis has been carried out to find out the order of importance of input parameters on the output parameter.
Prediction of Settlement of Shallow Foundation on Cohesionless Soil Using Artificial Neural Network
In this paper, Artificial Neural Network (ANN) has been used effectively to predict the settlement of shallow foundation on cohesionless soil. Using 199 test data which have been collected from various published literature, an ANN model has been built. A model equation for the determination of shallow foundation settlement on cohesionless soil has been developed from the ANN model. Sensitivity analysis has been carried out to find out the order of importance of input parameters on the output parameter.
Prediction of Settlement of Shallow Foundation on Cohesionless Soil Using Artificial Neural Network
Lecture Notes in Civil Engineering
Dey, Ashim Kanti (Herausgeber:in) / Mandal, Jagat Jyoti (Herausgeber:in) / Manna, Bappaditya (Herausgeber:in) / Debnath, Sinjan (Autor:in) / Sultana, Parbin (Autor:in)
Indian Young Geotechnical Engineers Conference ; 2019 ; Silchar, India
Proceedings of the 7th Indian Young Geotechnical Engineers Conference ; Kapitel: 49 ; 477-486
17.03.2022
10 pages
Aufsatz/Kapitel (Buch)
Elektronische Ressource
Englisch
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