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Applied Computational Intelligence and Soft Computing
Volume 2012 (2012), Article ID 846321, 9 pages
Research Article

Modelling of Water Quality: An Application to a Water Treatment Process

1Department of Environmental Science, University of Eastern Finland, P.O. Box 1627, 70211 Kuopio, Finland
2Finnsugar Ltd., Sokeritehtaantie 20, 02460 Kantvik, Finland

Received 10 October 2011; Revised 19 December 2011; Accepted 25 December 2011

Academic Editor: Cheng-Jian Lin

Copyright © 2012 Petri Juntunen et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Citations to this Article [5 citations]

The following is the list of published articles that have cited the current article.

  • Mika Liukkonen, Petri Juntunen, Ilkka Laakso, and Yrjö Hiltunen, “A software platform for process monitoring: Applications to water treatment,” Expert Systems with Applications, vol. 40, no. 7, pp. 2631–2639, 2013. View at Publisher · View at Google Scholar
  • Iyan E. Mulia, Harold Tay, K. Roopsekhar, and Pavel Tkalich, “Hybrid ANN–GA model for predicting turbidity and chlorophyll-a concentrations,” Journal of Hydro-environment Research, 2013. View at Publisher · View at Google Scholar
  • Bruno Santos, Claudia F. Galinha, João G. Crespo, Maria António Santos, and Svetlozar Velizarov, “Prediction of polar oil and grease contamination levels in refinery wastewater through multivariate statistical modeling,” Separation and Purification Technology, vol. 119, pp. 51–57, 2013. View at Publisher · View at Google Scholar
  • Harsha Ratnaweera, and Joachim Fettig, “State of the Art of Online Monitoring and Control of the Coagulation Process,” Water, vol. 7, no. 11, pp. 6574–6597, 2015. View at Publisher · View at Google Scholar
  • Nataliia Sivchenko, Knut Kvaal, Harsha Ratnaweera, and Yiu Fai Tsang, “Evaluation of image texture recognition techniques in application to wastewater coagulation,” Cogent Engineering, vol. 3, no. 1, pp. 1206679, 2016. View at Publisher · View at Google Scholar