Process state estimation in a wastewater biological treatment

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.

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