DocumentCode
542063
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
Volume
1
fYear
2010
fDate
13-14 Oct. 2010
Firstpage
347
Lastpage
350
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent System Design and Engineering Application (ISDEA), 2010 International Conference on
Conference_Location
Changsha
Print_ISBN
978-1-4244-8333-4
Type
conf
DOI
10.1109/ISDEA.2010.266
Filename
5743194
Link To Document