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Kumar, K.; Panpalia, Gopal; Priyadarshini, Surabhi
Acta pharmaceutica (Zagreb, Croatia), 06/2011, Volume: 61, Issue: 2Journal Article
The purpose of this study was to optimize the concentration of a fatty alcohol, in addition to internal phase, for formulating a stable O/W emulsion, by using artificial neural networks (ANNs). Predictions from ANNs are accurate and allow quantification of the relative importance of the inputs. Furthermore, by varying the network topology and parameters it was possible to obtain output values that were close to experimental values. The ANN model's predictive results and the actual output values were compared. R2 values depict the percentage of response variability for the model; R2 value of 0.84 for the model suggested adequate modeling, which is supported by the correlation coefficient value of 0.9445. Cilj rada bio je pomoću umjetnih neuralnih mreža (ANNs) optimirati koncentraciju viših alkohola kao unutarnje faze za pripravu stabilnih emulzija ulje/voda. Rezultati ANN predviđanja su točni i omogućavaju kvantifikaciju ulaznih parametara. Nadalje, varirajući topologiju mreže i parametre moguće je dobiti izlazne vrijednosti koje su blizu eksperimentalnih vrijednosti. Usporedbom rezultata ANN predviđanja i stvarnih izlaznih vrijednosti dobiveni su visoki koeficijenti korelacije (R2 = 0,84 i r2 = 0,9445).
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