The Application Process of Wavelet Neural Network in Intelligent Evaluation of the Quality of Engineering Anchor Poles
Most detection means on the anchorage integrity today still remain on the destructive testing level, which can hardly meet the actual needs of quality detection on large volumes of anchor poles in the anchorage engineering. This paper presents the application process of wavelet neural network in the non-destructive intelligent testing on the quality of engineering anchor poles. Taking the project of "Management Buildings and Museum of China Marine Sports School" in Qingdao as an example, this paper uses neural toolbox of MATLAB to do the network training by selecting training and simulation samples. The ideal training results indicate that with the help of neural toolbox of MATLAB, the application process of wavelet neural network can not only make intelligent evaluation of the quality of engineering anchor poles, but also make up traditional means, which can not detect large volumes of anchor poles.
Chaohe Chen, Yong Huang and Guangfan Li
R. J. Li et al., "The Application Process of Wavelet Neural Network in Intelligent Evaluation of the Quality of Engineering Anchor Poles", Advanced Materials Research, Vols. 243-249, pp. 2969-2972, 2011