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
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;
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
DOI :
10.1109/ICWAPR.2009.5207406
