Foundation settlement is a kind of severe environmental hazard. The monitoring data of foundation settlement are usually disturbed by rainfall and engineering construction. As a result

there are a lot of data breakpoints in the settlement curve. Therefore

based on wavelet analysis and RBF neural network theory

a new method for foundation settlement is proposed. Firstly

based on the de-noising process of monitoring data by wavelet analysis

the foundation settlement curve that is close to the practical situation can be obtained. Afterwards

the prediction is carried on by radial basic function (RBF) neural network method. The wavelet analysis and RBF neural network method can provide engineering design with scientific basis. Finally

based on the engineering instance analysis and the contrast study between different kinds of wavelets

the results show that the de-noising and prediction effect of triple B-spline wavelet is the best among the chosen wavelets

and it has a good future in the field of engineering application.