CAJ | 학술논문

基于RBF核的LS-SVR模型，采用实验变差函数计算插值算法权值，对权系数与各训练样本内积值相乘所反映样本空间结构和相互间关联度的插值核函数进行构造，提出了一种通过Kriging空间散乱插值方法利用样本数据构造出的插值核函数与RBF核函数进行组合而成的核方法。结果表明，该方法使LS-SVR板形预测有更好的性能，在提升预测算法泛化能力的同时，实现了对板形的精准回归预测。
기우RBF핵적LS-SVR모형，채용실험변차함수계산삽치산법권치，대권계수여각훈련양본내적치상승소반영양본공간결구화상호간관련도적삽치핵함수진행구조，제출료일충통과Kriging공간산란삽치방법이용양본수거구조출적삽치핵함수여RBF핵함수진행조합이성적핵방법。결과표명，해방법사LS-SVR판형예측유경호적성능，재제승예측산법범화능력적동시，실현료대판형적정준회귀예측。
Based on LS-SVR with RBF kernel ,this paper uses the experimental variogram to calculate the weight of the interpolation algorithm .It constructs the interpolation kernel which reflects the spa-tial structure and inter-correlation within each training sample weight and inner product value multi-plied .And it proposes the mixture of kernels that combines RBF kernel and interpolation kernel con-structed with sample data by the Kriging scattered data interpolation method .The results show that the method improves the performance of LS-SVR crown prediction .It not only enhances the generali-zation ability of the prediction algorithm but also achieves the precise regression of crow n prediction .