Artificial neural networks for rapid WWTP performance evaluation: Methodology and case study

Research output: Contribution to journal › Journal article › Research › peer-review

Original language	English
Journal	Environmental Modelling & Software
Volume	22
Issue number	8
Pages (from-to)	1208-1216
ISSN	1364-8152
DOIs	https://doi.org/10.1016/j.envsoft.2006.07.003
Publication status	Published - 2007

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@article{b7682ec0cbe543a4909325027a93c6ed,

title = "Artificial neural networks for rapid WWTP performance evaluation: Methodology and case study",

author = "Botond Raduly and Krist Gernaey and A.G. Capodaglio and Mikkelsen, \{Peter Steen\} and Mogens Henze",

year = "2007",

doi = "10.1016/j.envsoft.2006.07.003",

language = "English",

volume = "22",

pages = "1208--1216",

journal = "Environmental Modelling \& Software",

issn = "1364-8152",

publisher = "Elsevier",

number = "8",

}

TY - JOUR

T1 - Artificial neural networks for rapid WWTP performance evaluation: Methodology and case study

AU - Raduly, Botond

AU - Gernaey, Krist

AU - Capodaglio, A.G.

AU - Mikkelsen, Peter Steen

AU - Henze, Mogens

PY - 2007

Y1 - 2007

U2 - 10.1016/j.envsoft.2006.07.003

DO - 10.1016/j.envsoft.2006.07.003

M3 - Journal article

SN - 1364-8152

VL - 22

SP - 1208

EP - 1216

JO - Environmental Modelling & Software

JF - Environmental Modelling & Software

IS - 8

ER -