Open Access
3- https://doi.org/10.1007/978-3-540-72432-2_62
Applying Genetic-Fuzzy Approach to Model Polyester Dyeing
- Jan 1, 2007
- Maryam Nasiri +2 more
Abstract
Genetic-Fuzzy (GF) approach is used to model color yield in the high temperature (HT) polyester dyeing as a function of dye concentration, temperature, and time. The proposed method is compared with statistical regression model for their prediction powers using the Mean Square Errors (MSE). The results show that the GF model is preferable to the statistical regression model in at least two ways. First, it enjoys a better predictive power regarding to its minimum MSE. Second, the statistical regression model fails to satisfy the standard requirements.
- # Statistical Regression Model
- # Function Of Dye Concentration
- # Genetic-Fuzzy
- # Genetic-Fuzzy Approach
- # Minimum Mean Square Errors
- # Mean Square Errors
- # Polyester Dyeing
- # Prediction Powers
- # Statistical Model
- # Mean Square
