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。

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Influence of temperature effect on Fabry-Perot cavity optical fiber sensor system is analyzed and the projects of self-compensation for temperature effect are put forward.

分析了温度效应对f - P腔光纤液位传感器系统的影响，提出相应的解决方案以实现对温度效应的自补偿。

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Based on different compensation principle for temperature and combined with the real condition, a differential compensation system which has a self-calibration function has been designed.

根据不同的温度补偿原理，结合测量的实际情况，设计了具有自校准功能的差动补偿系统。

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