Calibration Model for Water Distribution Network Using Pressures Estimated by Artificial Neural Networks-Reference-Cited by-同舟云学术

Calibration Model for Water Distribution Network Using Pressures Estimated by Artificial Neural Networks

Published:2017-08-05 Issue:13 Volume:31 Page:4339-4351
ISSN:0920-4741
Container-title:Water Resources Management
language:en
Short-container-title:Water Resour Manage

Author:

Meirelles Gustavo,Manzi Daniel,Brentan Bruno,Goulart Thaisa,Luvizotto Edevar

Funder

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior

Conselho Nacional de Desenvolvimento Científico e Tecnológico

Publisher

Springer Science and Business Media LLC

Subject

Water Science and Technology,Civil and Structural Engineering

Link

http://link.springer.com/article/10.1007/s11269-017-1750-2/fulltext.html

Reference34 articles.

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2. Brentan BM, Luvizotto Júnior E (2013) PSO applied to reduce the cost of energy in water supply networks. Appl Mech Mater 409–410:703–706. doi: 10.4028/www.scientific.net/AMM.409-410.703

3. Brentan B, Campbell E, Izquierdo I, Pérez-García R, (2015). Calibración conjunta de presiones y fugas en redes de abastecimiento de agua potable. Conference: XI Seminario Euro Latino Americano de Sistemas de Ingeniería – XI SELASI, At Huaraz, Peru

4. Cheng W, He Z (2011) Calibration of nodal demand in water distribution systems. J Water Resour Plan Manag 137(1):31–40. doi: 10.1061/(ASCE)WR.1943-5452.0000093

5. Christodoulou S, Ellinas G (2011) Ant Colony optimization for level of service improvements in piping networks. European Water 33:3–10

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