Modeling of Polyester Dyeing Using an Evolutionary Fuzzy System

The aim of this study is to apply and compare statistical regression and an evolutionary fuzzy system to model color yield in the polyester high temperature (HT) dyeing as a function of disperse dyes concentration, temperature and time. The predictive power of the obtained models was evaluated by means of MSE value. It seems that for modeling cases such as the one considered in this study, the evolutionary fuzzy system with a minimum MSE showed a better predictive capability than the model based on statistical regression.

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