DocumentCode
3019246
Title
The forecast for corrosion of reinforcing steel based on RBF neural network
Author
Liu, Yan ; Zhao, Sheng-Li ; Yi, Cheng
Author_Institution
Rural & Urban Constr. Coll., Hebei Agric. Univ., Baoding, China
fYear
2009
fDate
12-15 July 2009
Firstpage
195
Lastpage
199
Abstract
By analyzing the causes and influencing factors of corrosion of reinforcing steel, the RBF neural network model for predicting reinforcement corrosion is founded. And actual data is analyzed through an example and results are compared with the BP network model. The testing results show that RBF network model for predicting reinforcement corrosion can become a new effective assessment model with better prediction results and higher recognition precision.
Keywords
backpropagation; corrosion protection; mechanical engineering computing; radial basis function networks; steel; BP network model; RBF neural network model; assessment model; reinforcement steel corrosion; Bars; Concrete; Corrosion; Mathematical model; Neural networks; Pattern analysis; Predictive models; Protection; Steel; Testing; Forecast; RBF neural network; Reinforcement corrosion;
fLanguage
English
Publisher
ieee
Conference_Titel
Wavelet Analysis and Pattern Recognition, 2009. ICWAPR 2009. International Conference on
Conference_Location
Baoding
Print_ISBN
978-1-4244-3728-3
Electronic_ISBN
978-1-4244-3729-0
Type
conf
DOI
10.1109/ICWAPR.2009.5207406
Filename
5207406
Link To Document