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

fYear

2011

fDate

15-17 April 2011

Firstpage

5207

Lastpage

5209

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Electric Information and Control Engineering (ICEICE), 2011 International Conference on

Conference_Location

Wuhan

Print_ISBN

978-1-4244-8036-4

Type

conf

DOI

10.1109/ICEICE.2011.5777665

Filename

5777665

Link To Document

https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3281318