计算机与数字工程2016，Vol.45Issue(7)：1357-1360,4.DOI:10.3969/j.issn.1672-9722.2016.07.036
基于小波神经网络对城市供水管网漏损的研究
Prediction of the Leakage of Urban Water Supply Networks by Wavelet Neural Network
摘要
Abstract
The study of the pipeline leakage is an important project in the field of water supply.Taking maintenance da-ta of DN300 pipe diameter in Waterworks from 2011to 2014 as research object,wavelet neural network is used to forecaste the Water Network's leakage.Prediction model is established to compare with the BP neural network.Wavelet neural net-work is more accurate than the BP neural network in predict Water Network's leakage with the minimum error is 0.36%, and the maximum error is 13.47%.关键词
小波神经网络/BP神经网络/管网漏损Key words
wavelet neural/BP neural network/pipe network's leakage分类
信息技术与安全科学引用本文复制引用
汪健,王煜,秦正飞..基于小波神经网络对城市供水管网漏损的研究[J].计算机与数字工程,2016,45(7):1357-1360,4.基金项目
国家自然科学基金项目(编号:51179079)资助. （编号:51179079）
