Title :
Application of Genetic Data Fusion in Tunnel Monitoring
Author :
Ma Chengqian ; Li Dengfu ; Yan, Gao
Author_Institution :
Sch. of Comput. Sci. & Technol., Wuhan Univ. of Technol., Wuhan, China
Abstract :
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.
Keywords :
genetic algorithms; neural nets; roads; sensor fusion; wavelet transforms; genetic data fusion; sensor detection; tunnel management; tunnel monitoring; tunnel sensor; wavelet based neural network genetic algorithm; Algorithm design and analysis; Artificial intelligence; Artificial neural networks; Control systems; Distributed databases; Monitoring; Process control; Data fusion; GA; Multi-sensor; Wavelet network;
Conference_Titel :
Intelligent System Design and Engineering Application (ISDEA), 2010 International Conference on
Conference_Location :
Changsha
Print_ISBN :
978-1-4244-8333-4
DOI :
10.1109/ISDEA.2010.266
