BP Neural Network Model in the Application of Subway Drainage Cabinet

Article Preview

Abstract:

In view of the changeable characteristic of the stray current in subway system, introduced the artificial neural network BP model, using Matlab prepared a program of the BP neural network prediction mode to predict the current drainage cabinet exhaust flow .The simulation results show that the prediction model is simple and efficient to the automatic drainage cabinet drainage strategy in further promote.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

2601-2604

Citation:

Online since:

August 2013

Authors:

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2013 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] Jianwu Dang. Neural network technology and applications [M]. BeiJing. China Railway Press, 2000. 7.

Google Scholar

[2] Wusheng Hu. Neural network theory and its application in engineering. [M]. BeiJing. Surveying and Mapping Press,2006. 1: 63—81.

Google Scholar

[3] Li Wei. Metro stray current corrosion monitoring and protection technology [M]. China University of Mining and Technology Press, 2004. 30(44).

Google Scholar

[4] Wenan Zou. BP artificial neural network model in the application of the dry season runoff prediction. [J]. Water Resources Research, 2008. 9(44).

Google Scholar

[5] Cong Shuang. MATLAB Toolbox for the neural network theory and application [M]. BeiJing: University of Science and Technology of China Press, (1999).

Google Scholar

[6] Shuntian Lou, Shi Yang. System analysis and design based on MATLAB-Neural Network. [M]. XiAn: Xi'an University of Electronic Science and Technology Press, (2000).

Google Scholar

[7] Li Wei. Metro stray current Monitoring and Prevention [J]. Urban Mass Transit, 2003, (04).

Google Scholar

[8] Dongliang Zhang, Li Feng, Baoen Li, Yabin Zhang, Deng Wei, Zhihong Wang. Design of Automatic Exhaust Flow Cabinet[J]. Urban Mass Transit, 2008, (07).

Google Scholar