Process state estimation in a wastewater biological treatment

Authors:
Iván Machóh;Hilario López;Antonio Robles
Affiliations:
Departamento de Ingeniería Eléctrica, Electrónica de Computadores y Sistemas, Universidad de Oviedo, Gijón, Spain;Departamento de Ingeniería Eléctrica, Electrónica de Computadores y Sistemas, Universidad de Oviedo, Gijón, Spain;Departamento de Ingeniería Eléctrica, Electrónica de Computadores y Sistemas, Universidad de Oviedo, Gijón, Spain
Venue:
ICCOMP'05 Proceedings of the 9th WSEAS International Conference on Computers
Year:
2005

Citing 2
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Self-Organizing Maps

Self-Organizing Maps
Clustering of the self-organizing map

IEEE Transactions on Neural Networks

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Abstract

Using clustering techniques for data classification is very common. In this paper a Self-Organizing Map model is used to carry out an estimation of the process state in a wastewater biological treatment using clustering algorithms and validation indexes. The estimation is used to improve the efficiency of the treatment plant.