Research Article
A Novel Performance Prediction Model for the Machining Process Based on the Interval Type-2 Fuzzy Neural Network
Table 2
Design factors in the IT2FNN architecture.
| Parameter | MRR | Ra |
| Layer 1: Number of input nodes | 5 | 5 | Layer 2: Number of membership functions | 10 | 10 | Layer 3: Number of rules | 32 | 32 | Layer 4: Number of normalization nodes | 32 | 32 | Layer 5: Number of type-reduction nodes | 2 | 2 | Layer 6: Number of output nodes | 1 | 1 | Footprint of uncertainty | Gaussian with uncertain standard deviation | Gaussian with uncertain standard deviation |
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