Prediction Research of Vault Sink Based on an Improved Neural Network of Wavelet De-noising

Abstract

Vault sink of tunnel contains a lot of random error.In order to eliminate or weaken interference of random error,the measured data was processed by wavelet de-noising that made the data more authenticity in the paper.Aiming at problems such as poor precision and slow convergence about BP neural network prediction,de-noising data was predicted by the improved BP neural network,which compared with traditional BP neural network.Experimental results showed the improved neural network of wavelet de-noising made convergence rate accelerate,accuracy improve,prediction result significantly enhance,it was true to prediction research of vault sink.