结合贝叶斯网络和神经网络，提出了一种建立数据驱动型的动态线性回归系统模型的方法。

A new method was represented to model dynamic linear regression system driven by data, in which a bayesian network was combined with the RBF neural network.

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此肌电放大器的前置部分采用共模驱动，以达到提高其共模抑制比和输入信号的动态范围，以及抑制工频干扰等作用，并采用线性光耦隔离。

Apart from employing the linear optocoupler isolation, this EMG pre-amplifier uses the boost to enhance the CMR and the input swing and reject the industry interference.

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但由于驱动器的材料、结构和工作条件各异，所以关于动态非线性的定量描述难以建立一个统一的数学模型。

But the differences of material? Construction and work condition of actuator lead to difficulty of setting up a standard mathematic model to precisely formulate the dynamic non-linearity character.

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