Secondary variables of aviation kerosene dry point are selected through these two methods. By using the data acquired and Partial Least-Squares Splines, aviation kerosene dry point soft sensing model is established.
利用研究获得的辅助变量和航煤干点的现场操作数据,分别在正常数目和小数目样本两种条件下,采用基于样条变换的非线性偏最小二乘回归方法建立了航空煤油干点的软测量模型。
参考来源 - 偏最小二乘回归理论的研究及软测量应用·2,447,543篇论文数据,部分数据来源于NoteExpress
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