This paper presents an approach to predict the amount of the wastewater which enters wastewater treatment plant, using artificial neural network. The method presented can be used to give short-term predictions of wastewater inflow-rate. The described neural network model uses a very tiny set of data commonly collected by WWTP control systems.
 Giokas D., Vlessidis A., Angelidis M. et al.: Clean Techn., Environ. Policy, 2002, 4, 183.
 Kim H., Yoon Y. and Kim J.: Stochastic Environ. Research and Risk Assessment, 2001, 15, 399.
 Kriger C. and Tzoneva R.: AFRICON 2007, 26-28 Oct. 2007, 1.
 Croft D.: http://www.croftsoft.com/library/tutorials/backprop/2005-02-18.xhtml (accessed 05 April 2009).
 Rojas R.: Neural Networks - a Systematic Introduction. Springer-Verlag, Berlin 1996.
 Soria-Olivas E., Martin-Guerrero J., Serrano-Lopez A. et al.: Neurocomputing, 2006, 69, 909.