Application of Genetic Data Fusion in Tunnel Monitoring

Improving the accuracy of sensors detection in tunnel is very significant to strengthen the tunnel's management, and protect the tunnel's safe and efficient operation. Wavelet-based neural network genetic algorithm is applied to processing the data fusion collected by the tunnel sensor. And the algorithm is validated by the actual data in the tunnel to achieve more satisfactory results. Genetic wavelet neural network is proved to be effective.