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.
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.
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。
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