Table 8 Performance comparison using various values of smoothing factors
From: Time-series analysis with smoothed Convolutional Neural Network
Alpha (α) | MSE | MAPE | Training Time (s) | |||
|---|---|---|---|---|---|---|
Scenario 1 | Scenario 2 | Scenario 1 | Scenario 2 | Scenario 1 | Scenario 2 | |
0.1 | 0.041253364 | 0.037273699 | 10.53615943 | 10.38117275 | 1931 | 2565 |
0.2 | 0.040030418 | 0.036722839 | 10.52603677 | 10.40674120 | 1773 | 2459 |
0.3 | 0.037012976 | 0.032575541 | 10.47502294 | 10.42701104 | 1808 | 2354 |
0.4 | 0.033451774 | 0.028436491 | 10.27203577 | 10.21281549 | 1908 | 2470 |
0.5 | 0.028844447 | 0.019506374 | 10.26041789 | 10.04790929 | 1625 | 2622 |
0.6 | 0.028121199 | 0.019009872 | 10.32034706 | 10.23355049 | 1766 | 2466 |
0.7 | 0.027940839 | 0.019117107 | 10.20982302 | 10.12943395 | 1968 | 2285 |
0.8 | 0.028185234 | 0.020425496 | 10.32522286 | 10.22963096 | 1648 | 2566 |
0.9 | 0.028846332 | 0.018137853 | 10.35108365 | 10.13430657 | 1728 | 2444 |
0.57 | 0.026531364 | 0.01710199 | 10.09874984 | 10.00587208 | 1878 | 2350 |