Modeling and prediction of flotation performance using support vector regression

Vladimir Despotović; Maja S. Trumić; Milan Ž. Trumić

doi:10.5937/ror1701031D

Autori

Vladimir Despotović University of Belgrade, Technical Faculty, Bor, Serbia Author https://orcid.org/0000-0002-8950-4111
Maja S. Trumić University of Belgrade, Technical Faculty, Bor, Serbia Author https://orcid.org/0000-0001-9361-4412
Milan Ž. Trumić University of Belgrade, Technical Faculty, Bor, Serbia Author https://orcid.org/0000-0002-4321-5218

DOI:

https://doi.org/10.5937/ror1701031D

Ključne reči:

deinking, flotacija, reciklaža papira, mašinsko učenje, regresija - metoda nosećih vektora

Apstrakt

Poslednjih godina vrše se značajna ulaganja u poboljšanje procesa reciklaže papira kako bi se uticalo na očuvanje šumskih, vodnih i energetskih resursa. Flotacija predstavlja najznačajniji postupak za separaciju čestica tonera od vlakana celuloze iz suspenzije papira. Modelovanje procesa flotacije je vrlo složeno, a dobijeni modeli su često komplikovani za implementaciju i upotrebu. U ovom radu predstavljen je model za predikciju performansi procesa flotacije koji je zasnovan na upotrebi metode potpornih vektora za regresiju (SVR). Reprezentativni uzorci za učenje modela dobijeni su u laboratorijskim uslovima, ispitivanjem uticaja različitih promenljivih kojima se kontroliše proces flotacije, poput tipa i koncentracije surfakanta, pH vrednosti i vremena flotiranja. Dobijeni rezultati potvrđuju da se metod potpornih vektora za regresiju može uspešno koristiti za predikciju performansi procesa flotacije čak i kada je skup podataka za učenje modela ograničen.

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