Forecast of total nitrogen in wastewater treatment plants by means techniques of soft computing

Authors:
Narcis Clara
Affiliations:
Universitat de Girona, Departament d'Informàtica i Matemàtica Aplicada, Girona, Spain
Venue:
ICS'08 Proceedings of the 12th WSEAS international conference on Systems
Year:
2008

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Abstract

Prediction in Wastewater Treatment Plants is an important purpose for decision-making. The complexity of the biological processes happening and, on the other hand, the uncertainty and incompleteness of the real data lead us to treat this problem modelling the data and via techniques of soft computing. Neural Networks has been the main procedure implemented. We have complemented it by genetic algorithms and fuzzy systems in order to select a suitable subset of variables. Statically results show that combining these methodologies we attaint reliable predictions of the Total Nitrogen which is one of the main variables for evaluating the water quality at the efluent of a Wastewater Treatment Plant.