This study describes the application of the feedback linearization neural networks, known from neural network computing, to the problem of gradient preemphasis. 本研究应用线性迴归类神经网路于梯度磁场的系统参数调整，这种方法不需要重覆量测与调整，因此所需时间非常短。
A comparison is made between the optimized preemphasis network dwelled upon in the documents of AIAA 7 th Communications Satellite Systems Conference (1978) and the above mentioned. 文中对AIAA 7th Communications Satellite SystemsConference(1978)有关文献中论及的最佳预加重网络也作了一些比较。
A Digital Preemphasis Gradient Waveform Generator for Magnetic Resonance Imaging 一种具有数字预加重的磁共振成像梯度波形发生器
