Research Article
Prediction Model of Cutting Parameters for Turning High Strength Steel Grade-H: Comparative Study of Regression Model versus ANFIS
Table 5
ANFIS information.
| Number of inputs | 3 (cutting speed, depth of cut, feed rate) | Input MF | “gbellmf” | Number of outputs | 1 (roughness) | Output type | Linear (first-order Sugeno type) | Number of fuzzy rules | 81 | Number of input-output pairs (training data) | 125 | Learning algorithm | Hybrid | Number of epochs | 1000 | Error tolerance | 0 | Evaluation method | Training data versus ANFIS output |
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