Research Article
Prediction of Responses in a Sustainable Dry Turning Operation: A Comparative Analysis
Table 4
ANFIS architecture and training parameters.
| | Number of layers | 5 |
| | Size of the input dataset | 18 × 3 | | Number of outputs | 3 | | Membership function | Generalized bell | | Learning rules | Least-square estimation gradient descent algorithm | | Inference system | Sugeno inference system | | Training method | Hybrid method | | Number of rules generated | 27 | | Momentum constant | 0.9 | | Number of epochs | 500 |
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