Research Article

Improving the Solution of Least Squares Support Vector Machines with Application to a Blast Furnace System

Table 3

Experimental results of three methods on Abalone data set.

ā€‰ Abalone data set, 4177 samples, 7-d inputs, equals 7
Conjugate gradient method Null space method MINRES method
ā€‰ Cond CPU MSE Cond CPU MSE Cond CPU MSE

42.341 20.343 5.36232955.9655 39.7344 5.3623369.9433 12.9531 5.3623
84.059 22.984 5.11433028.4495 41.1406 5.1143332.0862 14.2344 5.1143
167.846 26.343 4.79783043.4615 42.6719 4.7978306.5691 16.0156 4.7978
337.691 33.281 4.69233567.1431 46.8125 4.6923338.1679 18.4688 4.6923
666.823 39.315 4.43604888.3227 50.8438 4.4360667.7842 22.3125 4.4360
0 1327.351 47.531 4.47445355.5805 54.6563 4.47441329.291 26.2656 4.4744
1 2700.547 58.015 4.42179894.2450 59.8438 4.42172704.345 34.1719 4.4217
2 5275.703 74.859 4.39488239.2388 69.2031 4.39485283.506 42.5469 4.3948
3 10709.216 94.765 4.416918279.897 80.4219 4.416910724.46 54.7813 4.4169
4 21357.750 124.359 4.505324472.420 97.7500 4.505321388.43 71.3906 4.5053
5 42427.822 177.171 4.6144105161.60 133.2656 4.614442489.70 103.6406 4.6144
6 85153.757 221.468 4.6857185913.18 155.9219 4.685785276.97 129.3750 4.6857
7 171369.064 312.078 4.7145212162.90 212.4531 4.7145171614.1 181.8750 4.7145
8 344731.082 430.640 4.8621705659.56 289.4531 4.8621345216.0 260.5469 4.8621
9 681509.920 602.765 5.22941162595.7 395.6250 5.2294682494.5 360.5625 5.2294
10 1363883.053 840.625 5.65173106655.0 549.4844 5.65171365853 488.6250 5.6517