Pregled bibliografske jedinice broj: 922211
Procjena učinkovitosti rada uređaja za pročišćavanje otpadnih voda upotrebom alata strojnog učenja
Procjena učinkovitosti rada uređaja za pročišćavanje otpadnih voda upotrebom alata strojnog učenja // Zbornik radova Građevinskog fakulteta Sveučilišta u Rijeci, 19 (2016), 1; 25-36 (recenziran, prethodno priopćenje, znanstveni)
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Naslov
Procjena učinkovitosti rada uređaja za pročišćavanje
otpadnih voda upotrebom alata strojnog učenja
(Performance assessment of wastewater treatment plant
with machine learning tools)
Autori
Volf, Goran ; Atanasova, Nataša
Izvornik
Zbornik radova Građevinskog fakulteta Sveučilišta u Rijeci (0350-8552) 19
(2016), 1;
25-36
Vrsta, podvrsta i kategorija rada
Radovi u časopisima, prethodno priopćenje, znanstveni
Ključne riječi
Uređaj za pročišćavanje otpadnih voda s aktivnim muljem ; strojno učenje ; modelska stabla ; modeliranje ; KPK
(Wastewater treatment plant with activated sludge ; machine learning ; model trees ; modelling ; COD)
Sažetak
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.
Izvorni jezik
Hrvatski
Znanstvena područja
Građevinarstvo
