本文主要研究内容和研究成果包括两个部分第一部分是研究近期偏最小二乘非线性建模算法。

This paper mainly includes two parts contents and researches. The first part is about study of PLS nonlinear regression algorithm.

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提出了一种具有强非线性表达能力的自适应偏最小二乘回归(APLSR)方法，并应用于初顶石脑油干点软测量模型建立。

A novel adapting partial least square regression (APLS r) approach was proposed to develop the naphtha dry point soft sensor of the primary distillation tower.

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