The optimal parameters of mathematics model were studied using leave-one-out crossvalidationmethod.
利用内部交叉验证和自动优化功能对预测模型进行了优化,确定了最优建模参数。
2
In this paper, soft sensor modeling method based on Least Square SVM (LS SVM) is proposed, and crossvalidationmethod is used to select hyper-parameter of LS SVM model.
本文研究了基于最小二乘支持向量机的软测量建模方法,并用交叉验证的方法进行支持向量机参数选择。
3
In the first block, a modified generalized Crossvalidation blur identification method was proposed.