Abstract
The ground environmental vibration caused by traffic load will attenuate monotonously with the increase of the distance from the load source. However, considering the complexity of stratum factors, the attenuation of ground vibration will have local amplification of ground vibration instead of monotonous attenuation. This article is based on RBF neural network. The method can predict the ground environment vibration of the local amplification phenomenon of the ground vibration. This paper selects the theoretical solution of the complex theoretical model to perform the fitting approximation and the numerical approximation with the measured discrete data. The results show that the numerical approximation is better. Since the RBF neural network does not require other neural network models to perform supervised learning training, the numerical convergence speed is also relatively fast.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: IOP Conference Series: Earth and Environmental Science
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
