Research Article
Improving the Solution of Least Squares Support Vector Machines with Application to a Blast Furnace System
Table 1
Experimental results of three methods on Boston data set.
| | Boston data set, 506 samples, 13-d inputs, equals 13 | |
Conjugate gradient method | Null space method | MINRES method | | Cond† | CPU‡ | MSE* | Cond | CPU | MSE | Cond | CPU | MSE |
| | 4 | 0.3281 | 49.1027 | 366.9451 | 0.8438 | 49.1027 | 45.6283 | 0.2500 | 49.1027 | | 8 | 0.4688 | 39.4132 | 369.0926 | 0.6250 | 39.4132 | 31.6150 | 0.3438 | 39.4132 | | 15 | 0.3438 | 29.7686 | 388.1770 | 0.7656 | 29.7686 | 26.3388 | 0.3125 | 29.7686 | | 28 | 0.4531 | 24.2532 | 460.1920 | 0.7656 | 24.2532 | 29.2813 | 0.3281 | 24.2532 | | 60 | 0.2500 | 21.0322 | 474.6254 | 1.0625 | 21.0322 | 61.3493 | 0.4219 | 21.0322 | 0 | 116 | 0.3438 | 15.5875 | 566.2504 | 1.2500 | 15.5875 | 119.071 | 0.1875 | 15.5875 | 1 | 234 | 0.7188 | 13.6449 | 946.4564 | 1.1250 | 13.6449 | 239.374 | 0.4375 | 13.6449 | 2 | 472 | 0.9531 | 13.0252 | 1945.300 | 1.0625 | 13.0252 | 482.447 | 0.6875 | 13.0252 | 3 | 924 | 0.9375 | 10.9810 | 2244.342 | 1.4063 | 10.9810 | 944.042 | 0.6406 | 10.9810 | 4 | 1734 | 1.3594 | 10.3168 | 5229.460 | 1.2500 | 10.3168 | 1776.31 | 0.8906 | 10.3168 | 5 | 3801 | 1.5469 | 10.2063 | 10785.92 | 1.4844 | 10.2063 | 3876.97 | 1.1406 | 10.2063 | 6 | 7530 | 2.0469 | 11.3937 | 24998.71 | 1.9063 | 11.3937 | 7682.07 | 1.2969 | 11.3937 | 7 | 14618 | 2.4531 | 11.7750 | 47781.41 | 2.2188 | 11.7750 | 14932.2 | 1.6875 | 11.7750 | 8 | 29769 | 3.0625 | 12.9925 | 61351.85 | 2.9844 | 12.9925 | 30382.8 | 2.3750 | 12.9925 | 9 | 58387 | 3.4063 | 14.0194 | 101181.8 | 3.5938 | 14.0194 | 59619.0 | 2.6875 | 14.0194 | 10 | 119285 | 4.0313 | 17.2330 | 285440.0 | 4.8281 | 17.2330 | 121708 | 3.5313 | 17.2330 |
|
|
Cond† denotes the condition number, CPU‡ stands for running time, MSE* is mean square error.
|