Iron coagulation optimization during water treatment using artificial intelligence tools

Main Article Content

Andrii Safonyk

a.p.safonyk@nuwm.edu.ua

https://orcid.org/0000-0002-5020-9051
Ivan Tarhonii

i.m.tarhonii@nuwm.edu.ua

https://orcid.org/0000-0002-0811-952X
Oleksandr Naumchuk

o.m.naumchuk@nuwm.edu.ua

https://orcid.org/0000-0003-2483-4141
Vladyslav Danchenkov

danchenkov_ak20@nuwm.edu.ua

Roman Zaichuk

r.m.zaichuk@nuwm.edu.ua

https://orcid.org/0009-0004-8419-0178

Abstract

A process of water purification using electrical coagulation and its optimisation using artificial intelligence tools was presented. Experimental data was analysed and correlated. The experimental studies used were developed to optimise iron coagulation during water treatment. A neural network was developed to optimise iron coagulation and machine learning was performed. Neural network tests were conducted and methods for its practical application were proposed.

Keywords:

neural networks, computer vision, modelling, process optimization, RGB, HSL

Sustainable Development Goals (SDG)

  • 6 - Clean water and sanitation
  • 9 - Industry, Innovation, Technology and Infrastructure

References

Article Details

Safonyk, A., Tarhonii, I., Naumchuk, O., Danchenkov, V., & Zaichuk, R. (2026). Iron coagulation optimization during water treatment using artificial intelligence tools. Informatyka, Automatyka, Pomiary W Gospodarce I Ochronie Środowiska, 16(2), 113–117. https://doi.org/10.35784/iapgos.8508