Table 5.
Comparison of the predictive performance of SBP/DBP model based on BP neural network (Nets0/Netd0) and MIV-BP neural network (NETs0/NETd0)
| Subjects | Nets0 | NETs0 | Netd0 | NETd0 | ||||
|---|---|---|---|---|---|---|---|---|
| RMSE | MRE | RMSE | MRE | RMSE | MRE | RMSE | MRE | |
| Test_1 | 4.9805 | 3.88% | 4.7271 | 3.83% | 3.3399 | 4.18% | 3.0081 | 3.90% |
| Test_2 | 8.4300 | 5.87% | 8.4758 | 6.15% | 2.7054 | 3.24% | 2.3638 | 2.91% |
| Test_3 | 6.3469 | 5.15% | 6.0979 | 5.08% | 3.7605 | 4.49% | 3.7386 | 4.36% |
| Test_4 | 2.9861 | 2.33% | 2.8254 | 2.20% | 2.9592 | 4.11% | 3.0446 | 3.64% |
| Test_5 | 8.6497 | 6.12% | 3.6236 | 2.39% | 4.2544 | 6.28% | 5.8438 | 7.30% |
| Test_6 | 5.2630 | 3.37% | 4.6954 | 3.35% | 4.0274 | 5.12% | 4.1143 | 3.93% |
| Test_7 | 6.3290 | 4.97% | 4.1648 | 3.47% | 3.1490 | 4.31% | 3.4054 | 4.43% |
| Test_8 | 5.8563 | 4.47% | 5.6757 | 4.15% | 4.9674 | 7.00% | 4.3771 | 5.87% |
| Test_9 | 4.3699 | 2.89% | 4.5463 | 3.18% | 3.2361 | 3.93% | 2.9980 | 3.79% |
| Test_10 | 8.4576 | 7.41% | 5.2700 | 3.58% | 8.8362 | 12.42% | 4.0308 | 5.99% |