Research Article
Knowledge Mining from Clinical Datasets Using Rough Sets and Backpropagation Neural Network
Table 5
Parameters of BPNN.
| Number of layers | Input layer: 1 with 9–13 features for hepatitis 9 features for breast cancer 3–7 features for heart disease | Hidden layer: 1 with 25 nodes () | Output layer: 1 with class label (0 or 1) |
| Activation function | Hidden layer: tangent sigmoid | Output layer: linear |
| Learning algorithm | Backpropagation |
| Dataset division | Random division |
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