Assessment and Prediction of Water Supply Network Reliability under Information Shortage Using Artificial Neural Networks

Author:

Timashev Sviatoslav A.11,Makeeva Tatyana V.11

Affiliation:

1. Science and Engineering Center Reliability and Safety of Large Systems and Machines, Ural Branch Russian Academy of Sciences, Yekaterinburg, Russia.

Publisher

American Society of Civil Engineers

Reference12 articles.

1. Bubtiena A. M. Elshafie A. H. and Jafaar O. (2011). “Application of artificial neural networks in modeling water networks.” 7th International Colloquium on Signal Processing and its Applications: IEEE 50–57.

2. Artificial intelligence for the modeling of water pipes deterioration mechanisms.;Dawood T.;Autom. Constr,2020

3. Toward urban sustainability and clean potable water: Prediction of water quality via artificial neural networks.;Dawood T.;J. Cleaner Prod,2020

4. Machine learning based water pipe failure prediction: The effect of engineering, geology, climate and socio-economic factors.;Fan X.;Reliab. Eng. Syst. Saf,2021

5. Using Artificial Intelligence for Smart Water Management Systems.;Jenny H.;ADB Briefs,2020

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