试验表明堆石材料的抗剪强度更符合非线性表达式。
But many tests show the shear strength of the rockfill material is a nonlinear function of the normal stress.
利用神经网络的任意非线性表达能力，通过对系统的学习来调整PID参数，实现最优的PID控制。
Using the capacity of arbitrary nonlinear expressiveness, neural network can help to achieve the best control through learning systemic performance and adjusting automatically PID parameter.
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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