用双隐层BP人工神经网络，建立了丝杆螺母副的磨损率与滑动速度关系的数学模型。
By the use of double hidden layered BP artificial neural network a mathematical model of relationship between wear rate of screw-nut pair and sliding speed is established.
本文用双隐层BP人工神经网络建立了丝杆螺母副表面边界膜温度特性的磨损自补偿数学模型。
The BP neural network used in the temperature characteristic of the boundary film on the screw-nut pairs surface in the wear-self-compensation system was established.
用BP人工神经网络建立了重载丝杆螺母副的摩擦学特性与载荷之间关系的磨损自补偿数学模型。
The BP neural network used the wear-self-compensation mathematics model of the relationship of tribology characteristic with load of the heavy load screw-nut pairs was established.
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