Application of artificial neural networks in optimizing the fatty alcohol concentration in the formulation of an O/W emulsion

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.