Application of BP Neural Network and GPRS in Design of Supply Water Management Information System in Campus

Article Preview

Abstract:

The prediction problem of water according to the characteristics of campus, the general steps combined with neural network modeling method, BP neural network was selected as a basis for modeling. In this paper, the monitoring system GPRS technology and campus water supply network are combined, and the establishment of a burst pipe fault analysis model. The paper presents application of BP neural network and GPRS in design of supply water management information system in campus. Experimental results show that the proposed method has high efficiency.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

252-256

Citation:

Online since:

June 2014

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2014 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

* - Corresponding Author

[1] LIU Li-zhuo, The Forecast of Qinhuangdao Logistic based on BP Neural Network, JDCTA, Vol. 6, No. 8, p.8 ~ 16, (2012).

Google Scholar

[2] Gang Li, XiLong Che, The Remote Monitoring System Based on GPRS for the Health State of Civil Engineering , JDCTA, Vol. 6, No. 8, p.26 ~ 33, (2012).

Google Scholar

[3] Zhiliang Wang, Yan Lou, Assessing The Efficiency of Water Supply Based on DEA, JDCTA, Vol. 6, No. 22, p.544 ~ 551, (2012).

Google Scholar