提出了一种神经网络电流内环控制加混合模糊pi电压外环控制的双环控制结构。
This paper presents a new dual-loop control structure, with a neural network current as the inner-loop and a hybrid fuzzy-PI voltage as the outer-loop.
为了绕过这些问题，Rinzler和同事用碳纳米管网络来驱动电流。
To skirt these issues, Rinzler and his colleagues used a network of carbon nanotubes to drive current.
作者采用人工神经网络来实现光学电流互感器线性双折射效应的补偿。
The authors realize the compensation of optical current transducer's linear birefringent effect by using artificial neural networks.
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