Prediction of leakage risk in water distribution network using artificial neural networks

碩士 === 國立交通大學 === 環境工程系所 === 108 === Leakage in pipeline is not only a waste of resource, but a part of non-revenue water to water company. To overcome this problem, district meter area (DMA), pressure management and other leak founding methods have been widely practiced over decades. However, a lot...

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Bibliographic Details
Main Authors: Liang, Po-Jui, 梁博瑞
Other Authors: Huang, Chih-Pin
Format: Others
Language:zh-TW
Published: 2019
Online Access:http://ndltd.ncl.edu.tw/handle/64pvc8