The forecast for corrosion of reinforcing steel based on RBF neural network

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.