Ammonium estimation in a biological wastewater plant using feedforward neural networks

Authors:
Hilario López García;Iván Machón González
Affiliations:
Escuela Politécnica Superior de Ingeniería. Departamento de Ingeniería Eléctrica, Electrónica de Computadores y Sistemas. Edificio Departamental, Universidad de Oviedo, Gi ...;Escuela Politécnica Superior de Ingeniería. Departamento de Ingeniería Eléctrica, Electrónica de Computadores y Sistemas. Edificio Departamental, Universidad de Oviedo, Gi ...
Venue:
ANNPR'06 Proceedings of the Second international conference on Artificial Neural Networks in Pattern Recognition
Year:
2006

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Abstract

Mathematical models are normally used to calculate the component concentrations in biological wastewater treatment. However, this work deals with the wastewater from a coke plant and it implies inhibition effects between components which do not permit the use of said mathematical models. Due to this, feed-forward neural networks were used to estimate the ammonium concentration in the effluent stream of the biological plant. The architecture of the neural network is based on previous works in this topic. The methodology consists in performing a group of different sizes of the hidden layer and different subsets of input variables.