Risk Analysis Model for Water Pipeline Leakage Based on FAHP and BPNN

Wen Zeng; Yong Ting Pan; Hong Mei Huang

doi:10.4028/www.scientific.net/AMM.441.1093

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Risk Analysis Model for Water Pipeline Leakage Based on FAHP and BPNN
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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 441Risk Analysis Model for Water Pipeline Leakage...

Risk Analysis Model for Water Pipeline Leakage Based on FAHP and BPNN

Abstract:

Scientific analysis of the leakage of the water distribution system in city is very helpful to water supply network’s maintenance and renovation, and hence reduces negative social effect and economic loss. A leakage risk nalysis model for water distribution system was established based on fuzzy analytical hierarchy process (FAHP) and BP neural network (BPNN). This model introduces FAHP to reasonably ensure initial state of BP neural network, and uses weighted superposition to mend learning sample set of BP neural network. The water distribution system of a city in Zhejiang province P. R. China was selected to test the proposed risk analysis model, which verifise its feasibility and effectivity.

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Periodical:

Applied Mechanics and Materials (Volume 441)

Pages:

1093-1096

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.441.1093

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Online since:

December 2013

Authors:

Wen Zeng, Yong Ting Pan, Hong Mei Huang

Keywords:

BP Neural Network (BPNN), Fuzzy Analytical Hierarchy Process, Leakage Risk Analysis, Water Distribution System

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