Optimal control of wastewater treatment plants via integrated neural network and genetic algorithms

Citation
Nb. Chang et al., Optimal control of wastewater treatment plants via integrated neural network and genetic algorithms, CIV ENG E S, 18(1), 2001, pp. 1-17
Citations number
29
Language
INGLESE
art.tipo
Article
Categorie Soggetti
Civil Engineering
Journal title
CIVIL ENGINEERING AND ENVIRONMENTAL SYSTEMS
ISSN journal
1028-6608 → ACNP
Volume
18
Issue
1
Year of publication
2001
Pages
1 - 17
Database
ISI
SICI code
1028-6608(2001)18:1<1:OCOWTP>2.0.ZU;2-0
Abstract
The successful operation of wastewater treatment plants involves many uncer tain factors. Not only the physical and chemical properties of wastewater s treams but also the complexity of biological mechanism would significantly influence the performance of treatment process. Due to the rising concerns of environmental and economic impacts, improved control algorithms, using a rtificial intelligence technologies, have gradually received wide attention in the scientific community. This paper develops a genetic algorithm-based neural network for the assistance of intelligent controller design. An ind ustrial wastewater treatment plant in Taiwan verified the applicability of such a methodology. The hybrid intelligent control technology applied in th is paper is suitable to many other types of wastewater treatment plants by a slightly modified concept.