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
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.