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.
在数字复合正交神经网络的基础上提出一种模拟复合正交神经网络，并用于直流双闭环调速系统中。
This paper covers an analog compound orthogonal neural network controller and its application to two closed-loop DC speed governing system.
讨论了一种基于双映射神经网络的机械臂运动控制器。
The application of a robotic manipulator based on mutual mapping neural network(MMNN) is discussed.
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