Soft sensor model based on LS SVM is applied to predication of frozen point of light diesel oil.
将基于最小二乘支持向量机的软测量模型应用于轻柴油凝固点的预估。
The simulation on the platform of sewage disposal is made for the soft sensor model of biochemical oxygen demand (BOD) and some better results are obtained.
在污水处理过程仿真平台展开验证 工作，对生化需氧量BOD的软测量进行建模，获得了良好的实验结果。
In this paper, soft sensor modeling method based on Least Square SVM (LS SVM) is proposed, and cross validation method 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。
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