Hybrid RSM-fuzzy modeling for hardness prediction of TiAlN coatings.
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Fuzzy adaptive PID controller is applied to erection mechanism in combination of fuzzy logic and PID control method.. The model of erection mechanism is
study of fuzzy modeling for stock price of BMRI in Section 4.2 where a model translation in the extent of median error shows the results.. In Section 4.1, a weighted fuzzy model with
Comparing the prediction process with the real dataset for the PV modules, the prediction accuracy for the model has a mean absolute percentage error MAPE of 0.874%, with an average
To construct this model, the type-2 fuzzy set theory, which includes type-2 fuzzy number concepts and type-2 fuzzy relation, is used to define the complex uncertainty of surface data in
38, 2012, pages 208 – 217 Design of Fuzzy Logic Model for The Prediction of Tool Performance during Machining of Composite Materials Abstract Complexity of the machining
The smaller of the two predicted values was used as the withdrawal resistance of the hybrid CLT: Rpredict = withdrawal resistance of hybrid CLT N;Gs = modified withdrawal stiffness
The results obtained were tested methods provide predictions quite well with the value of Mean Square Error MSE = 1.88 and an Average Forecasting Error Rate Afer = 0.006%, although
Overall, these results suggest that the hybrid model, which combines the three models, predicts the future trajectory more effectively than the learning-based model because it considers
