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.
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 resistivities of grain and grain boundary were measured by the method of complex impedance analysis, the deficit compensation mechanism of donor acceptor was analyzed.
采用复阻抗方法测量了晶粒、晶界电阻值，初步分析了施受主的缺陷补偿机制。
The resistivities of grain and grain boundary were measured by the method of complex impedance analysis, the deficit compensation mechanism of donor acceptor was analyzed.
采用复阻抗方法测量了晶粒、晶界电阻值，初步分析了施受主的缺陷补偿机制。
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