Title :
Prediction for ultimate vertical bearing capacity of cast-in-situ single pile based on RBF neural network
Author :
Xu, Yunyun ; Xu, Dongqiang
Author_Institution :
Coll. of Civil Eng., Hebei Univ. of Technol., Tianjin, China
Abstract :
In this paper, prediction model for ultimate vertical bearing capacity of cast-in-situ single pile has been designed on RBF neural network, and data has been trained and simulated by Matlab neural network tool box. It shows that the model is feasible and the prediction result is desirable.
Keywords :
foundations; radial basis function networks; structural engineering computing; Matlab neural network toolbox; RBF neural network; cast-in-situ single pile; radial basis function network; ultimate vertical bearing capacity prediction; Artificial neural networks; Civil engineering; Educational institutions; Electronics industry; Mathematical model; Predictive models; Publishing; RBF neural network; cast-in-situ pile; prediction; ultimate vertical bearing capacity;
Conference_Titel :
Electric Information and Control Engineering (ICEICE), 2011 International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-8036-4
DOI :
10.1109/ICEICE.2011.5777665
