High Gradient Magnetic Separator for production needs high exciting power and its inductive load is great. The stabilization of output current from power supply system is difficult.
生产型高梯度磁选机激磁功率大且为大电感性负载，其供电系统输出电流很难稳定。
The sliding contacts of gradient layers, sandwich layers and ordinary multi-layers coatings subjected to the same surface load have been investigated under elastic-plastic deformation in this paper.
本文研究梯度层、三明治层及普通多层膜覆层体受相同表面载荷滑动接触作用下的弹塑性变形情况。
This paper proposes one kind of alternant gradient algorithm for improving the training of RBF neural network, which is applied to short-term electric load.
提出了一种交替梯度算法对径向基函数(RBF)神经网络的训练方法进行改进，并将之运用于电力系统短期负荷预测。
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