Application of Feedforward Artificial Neural Networks to Predict the Hydraulic State of a Water Distribution Network-Reference-Cited by-同舟云学术

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Application of Feedforward Artificial Neural Networks to Predict the Hydraulic State of a Water Distribution Network

Published:2024-09-04 Issue: Volume:2 Page:49
ISSN:
Container-title:The 3rd International Joint Conference on Water Distribution Systems Analysis & Computing and Control for the Water Industry (WDSA/CCWI 2024)
language:
Short-container-title:

Author:

Evangelista Leandro¹^ORCID,Móller Débora²^ORCID,Brentan Bruno³^ORCID,Meirelles Gustavo³^ORCID

Affiliation:

1. Research Sector, Federal Institute of Minas Gerais, Santa Luzia 33115-390, Brazil

2. Engineering Sector, Tractebel Engineering Ltda, Belo Horizonte 30130-918, Brazil

3. Hydraulic Engineering and Water Resources Department, Federal University of Minas Gerais, Belo Horizonte 31270-901, Brazil

Publisher

MDPI

Link

https://www.mdpi.com/2673-4591/69/1/49/pdf

Reference4 articles.

1. Optimization techniques used in design and operations of water distribution networks: A review and comparative study;Balekelayi;Sustain. Resilient Infrastruct.,2017

2. Lost in optimisation of water distribution systems? A literature review of system operation;Sultanova;Environ. Model. Softw.,2017

3. Exact skeletonization method in water distribution systems for hydraulic and quality models;Procedia Eng.,2017

4. Machine learning-based surrogate modeling for urban water networks: Review and future research directions;Kapelan;Water Resour. Res.,2022

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