Research Article
Deep Convolutional Neural Networks for Chest Diseases Detection
Table 1
Training parameters for backpropagation networks (32 × 32 input pixels).
| Networks | BPPN1 | BPNN2 | BPNN3 | BPNN4 |
| Training samples | 620 | 620 | 620 | 620 | Hidden neurons | 20 | 35 | 45 | 60 | Learning rate | 0.010 | 0.0045 | 0.300 | 0.15 | Momentum rate | 0.040 | 0.0072 | 0.0504 | 0.0619 | Activation function | Sigmoid | Sigmoid | Sigmoid | Sigmoid | Epochs | 1000 | 1000 | 1256 | 1374 | Training time (sec) | 148 | 156 | 184 | 193 | Mean squared error | 0.0077 | 0.0025 | 0.0056 | 0.0096 |
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