The possibility of creating a virtual sensor for measuring the concentration of copper ions (Cu(II))in water bodies was investigated. The creation of a virtual sensor is based on the possibility of usingcheap and reliable sensors for easily measurable variables that are mathematically associated withthe target variable. The values of the parameters characterizing the water quality have been collectedfor a long time and the surface water samples have been taken from the same points of the river water.Based on a correlation analysis, two input variables were selected for the virtual sensor - pH andelectrical conductivity. At a certain stage of research, temperature was added as an input variable, butthis did not lead to a significant increase in the accuracy of the virtual sensor. To create mathematicalmodels for the purposes of the developed virtual sensor, a large number of artificial neural networkswith feedforward propagation were trained and regression models were derived. In the article, themathematical models that describe the measurements carried out with the highest accuracy arepresented.
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Boshnakov et al. (2024) studied this question.
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