The assessment of response surface methodology (RSM) and artificial neural network (ANN) modeling in dry flue gas desulfurization at low temperatures

Modelling of Low-Temperature Sulphur Dioxide Removal Using Response Surface Methodology (RSM), Artificial Neural Network (ANN) and Adaptive Neuro-Fuzzy Inference System (ANFIS)

“…The RSM program developed a quadratic mathematical model with R 2 values of 0.9583 for Y 1 and 0.9614 for Y 2 . The ANOVA data of both models indicated p-values of less than 0.0001 which validate their significance [9]. ANN utilised different model designs based on the number of hidden cells and the learning algorithm.…”