The addition of mf numbers is done one after the other to each parameter and models with four different shapes, i.e., triangular mf (Tri), trapezoidal mf (Trap), generalized bell-shaped mf (Gbell), and Gaussian mf (Gauss) are trained and tested. Thus, the ANFIS model is checked for accuracy and error on the testing datasets with the performance metrics. Depending on numerous training and corresponding testing of the models, (2-3-2-2) is the input combination of the mf number utilized in the present study. Model-specific parameters chosen in the current work are listed in Table 5.
ANFIS model specification
Input mf Number . | Input mf shape . | ANFIS . | Optimization . | Output mf type . | Epochs . |
---|---|---|---|---|---|
2-3-2-2 | Tri, Trap, Gbell, Gauss | Sugeno | Backpropagation | Linear | 6 |
Input mf Number . | Input mf shape . | ANFIS . | Optimization . | Output mf type . | Epochs . |
---|---|---|---|---|---|
2-3-2-2 | Tri, Trap, Gbell, Gauss | Sugeno | Backpropagation | Linear | 6 |