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Procjena učinkovitosti rada uređaja za pročišćavanje otpadnih voda upotrebom alata strojnog učenja (CROSBI ID 247756)

Prilog u časopisu | prethodno priopćenje

Volf, Goran ; Atanasova, Nataša Procjena učinkovitosti rada uređaja za pročišćavanje otpadnih voda upotrebom alata strojnog učenja // Zbornik radova (Građevinski fakultet Sveučilišta u Rijeci), 19 (2016), 1; 25-36

Podaci o odgovornosti

Volf, Goran ; Atanasova, Nataša

hrvatski

Procjena učinkovitosti rada uređaja za pročišćavanje otpadnih voda upotrebom alata strojnog učenja

Wastewater treatment plants (WWTPs) with activated sludge are complex and dynamic systems whose management can be improved by using different modelling and prediction approaches to their work. A machine learning tool for the development of model trees was used in this paper in order to develop a model for chemical oxygen demand (COD) in the wastewater effluent from the WWTP with activated sludge. The data measured in both the influent and the effluent of WWTP were used for modelling. For the COD model the machine learning tool Weka and the algorithm for the development of model trees M5P were used. The obtained model has a high descriptive power and correlation coefficient and thus can be used for modelling purposes. Also, the purpose of this paper is to show the benefits of using machine learning tools for developing WWTP models.

Uređaj za pročišćavanje otpadnih voda s aktivnim muljem ; strojno učenje ; modelska stabla ; modeliranje ; KPK

nije evidentirano

engleski

Performance assessment of wastewater treatment plant with machine learning tools

nije evidentirano

Wastewater treatment plant with activated sludge ; machine learning ; model trees ; modelling ; COD

nije evidentirano

Podaci o izdanju

19 (1)

2016.

25-36

objavljeno

0350-8552

Povezanost rada

Građevinarstvo