Deeppipe: a customized generative model for estimations of liquid pipeline leakage parameters
Published 2021 View Full Article
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Title
Deeppipe: a customized generative model for estimations of liquid pipeline leakage parameters
Authors
Keywords
GANs framework, Pipeline leakage parameters, Estimations, neural network, Sensitivity analysis
Journal
COMPUTERS & CHEMICAL ENGINEERING
Volume 149, Issue -, Pages 107290
Publisher
Elsevier BV
Online
2021-03-18
DOI
10.1016/j.compchemeng.2021.107290
References
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