Table 13 Computation-time summary.
Model | Training time (GPU h) | Inference latency for GPU (ms/record) | Inference latency for CPU (ms/record) |
|---|---|---|---|
Kolmogorov–Arnold Network (KAN) | 0.62 ± 0.03 | 1.8 ± 0.2 | 14.5 ± 1.1 |
Deep Neural Network | 0.28 ± 0.02 | 1.5 ± 0.1 | 12.7 ± 0.9 |
Multi-layer perceptron | 0.12 ± 0.01 | 1.3 ± 0.1 | 11.9 ± 1.0 |
Random Forest (CPU only) | – | – | 9.6 ± 0.8 |