计算智能和神经科学
研究文章

单一定向SMO算法的最小二乘支持向量机

表2

培训时间(以秒为单位)和分类准确性括号内为一阶SMO (FO-SMO)和SD-SMO算法。
香蕉 图像
FO-SMO SD-SMO FO-SMO SD-SMO
−4 43.6589 (0.8675) 35.947 (0.895) 7.90140 (0.9012) 2.47260 (0.9214)
−3 47.3385 (0.8753) 35.3045 (0.8712) 8.41620 (0.9156) 2.50380 (0.9324)
−2 59.8110 (0.8832) 34.3882 (0.8653) 9.76570 (0.9223) 2.59740 (0.9348)
−1 88.6335 (0.8889) 28.9070 (0.8377) 11.7874 (0.9382) 2.57400 (0.9358)
0 129.505 (0.8877) 22.5036 (0.8667) 15.3895 (0.9430) 2.58180 (0.9410)
1 220.437 (0.8900) 16.1617 (0.8502) 23.4157 (0.9521) 2.60520 (0.9511)
2 229.891 (0.8943) 8.42400 (0.7853) 31.1026 (0.9588) 3.93120 (0.9602)
3 238.068 (0.8977) 3.47140 (0.7032) 41.611 (0.967) 4.2979 (0.963)
4 259.36 (0.898) 2.02800 (0.6126) 50.6560 (0.9616) 4.50900 (0.9578)