表5
实验值和4 SVM模型的lgt1/2内部预测结果。
|
| ID |
lgt1/2 |
径向+ eps-reg |
径向+ nu-reg |
线性+ eps-reg |
线性+ nu-reg |
|
| 1 |
1.819 |
1.779216 |
1.781302 |
1.812285 |
1.951165 |
| 2 |
1.869 |
1.827756 |
1.798580 |
1.835602 |
1.744102 |
| 3 |
2.139 |
1.713926 |
1.707563 |
1.769820 |
1.770619 |
| 4 |
2.060 |
1.772371 |
1.768500 |
1.792442 |
1.770267 |
| 5 |
1.230 |
1.599024 |
1.587027 |
1.580694 |
1.487888 |
| 6 |
1.176 |
1.363148 |
1.374539 |
1.355817 |
1.313377 |
| 7 |
1.312 |
1.373201 |
1.398522 |
1.345323 |
1.450414 |
| 9 |
1.623 |
1.585821 |
1.578657 |
1.629972 |
1.523181 |
| 10 |
1.079 |
1.494724 |
1.494087 |
1.112267 |
1.219324 |
| 12 |
1.748 |
1.775344 |
1.796207 |
1.781397 |
1.889308 |
| 13 |
1.880 |
1.858219 |
1.863383 |
1.913434 |
2.022421 |
| 14 |
1.973 |
1.927762 |
1.934197 |
2.059377 |
2.163645 |
| 15 |
2.245 |
1.916552 |
1.925729 |
2.008084 |
2.130922 |
| 16 |
2.193 |
1.831546 |
1.848498 |
1.922720 |
2.069817 |
| 17 |
1.789 |
1.803731 |
1.811289 |
1.822127 |
1.903807 |
| 18 |
1.462 |
1.606335 |
1.624347 |
1.576873 |
1.609259 |
| 20. |
1.447 |
1.525688 |
1.545616 |
1.413420 |
1.445952 |
| 21 |
1.447 |
1.554127 |
1.544298 |
1.663491 |
1.646921 |
| 22 |
1.599 |
1.571473 |
1.551537 |
1.576665 |
1.501430 |
| 23 |
1.491 |
1.524709 |
1.527338 |
1.452021 |
1.384236 |
| 24 |
1.565 |
1.590526 |
1.575234 |
1.531546 |
1.459150 |
| 25 |
1.462 |
1.534525 |
1.549003 |
1.428528 |
1.357148 |
|
|
请注意。径向+ eps-reg径向+ nu-reg线性+ eps-reg和线性+ nu-reg,分别代表了4 SVM模型径向和线性核函数和类型是eps-regression nu-regression。
|
