This study describes the application of the feedback linearization neural networks, known from neural network computing, to the problem of gradient preemphasis.
本研究应用线性迴经网路于梯度磁场的系统参数调整,这种方法需要重覆量测与调整,因此所需时间非常短。
This study describes the application of the feedback linearization neural networks, known from neural network computing, to the problem of gradient preemphasis.
本研究应用线性迴经网路于梯度磁场的系统参数调整,这种方法需要重覆量测与调整,因此所需时间非常短。
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