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.
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