Table 3.
|
Subject |
|||||||||
---|---|---|---|---|---|---|---|---|---|---|
1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | |
AR | 37.1 | 33.1 | 64.8 | 68.0 | 67.8 | 68.0 | 52.8 | 51.6 | 60.9 | 44.7 |
SVR | 84.3 | 43.8 | 101.4 | 137.7 | 73.5 | 137.7 | 53. 3 | 236.1 | 146.3 | 33.9 |
ELM | 36.3±11.0 | 59.9±21.1 | 27.3±2.0 | 34.4±18.3 | 69.3±21.9 | 33.2±13.1 | 16.8±6.6 | 43.6±6.6 | 54.6±7.7 | 19.1±1.7 |
New | 15.9±0.3 | 32.7±1.2 | 24.2±2.3 | 25.7±3.2 | 25.1±1.5 | 27.2±3.5 | 12.0±2.1 | 37.5±3.3 | 51.5±4.5 | 23.4±0.8 |
Fifty groups of Monte Carlo simulations were run for both extreme learning machine (ELM) and the new algorithm. Data are mean±SD values.
AR, autoregressive; SVR, support vector regression.