Perceptual Color Appearance Models of Fluorescent Samples Based on Machine Learning

Two machine learning models, including the polynomial regression model and artificial neural network, are proposed based on the result of a visual perception experiment of fluorescent samples. The results indicate that both two models can ideally predict the visual color appearance of fluorescent samples under various lighting conditions with high R-squared, acceptable RMSE, and MAE values.