Metoda potpornih vektora u procjeni utjecaja karakteristika unaprijednih osmotskih membrana na zadržavanje organskih molekula

The forward osmosis (FO) process is currently being studied more despite other energy-consuming processes. In addition, several works show the performance of FO membranes as its major challenges, the study of the rejection of different molecules, energy consumption, and modelling of different objectives related to this process. The main purpose of our study was to evaluate the impact of the FO membranes characteristics on the rejection of organic molecules (neutral) by modelling of the latter. However, the current work deals with the application of Support Vector Machines (SVM) for predicting the rejection of organic molecules (53) by the FO membranes. In addition, the SVM model was compared with two other models: Artificial Neural Network (ANN) and Multiple Linear Regression (MLR). The coefficient of correlation (R) for the testing data was applied to display the best SVM model. The SVM model generated with Radial Basis Function (RBF) as the kernel function showed the best R value equal to 0.8526. MLR and ANN models had R values of 0.7630 and 0.8723, respectively.Proces unaprijedne osmoze (FO) trenutačno se učestalo proučava, a glavne su tematike zadržavanje različitih molekula, potrošnja energije i modeliranje samog procesa. Glavna svrha ovog istraživanja bila je, primjenom modeliranja, procijeniti utjecaj karakteristika FO membrana na zadržavanje neutralnih organskih molekula. Rad je fokusiran na primjenu metode potpornih vektora (engl. Support Vector Machines, SVM) za predviđanje zadržavanja organskih molekula (53) FO membranama. Razvijeni SVM model uspoređen je s dva druga modela: modelom umjetne neuronske mreže i modelom višestruke linearne regresije. SVM model generiran uz radijalnu baznu funkciju pokazao je najbolju vrijednost koeficijenta korelacije u iznosu 0,8526. Vrijednosti koeficijenta korelacije kod modela umjetne neuronske mreže i modela višestruke linearne regresije iznosile su 0,7630, odnosno 0,8723