应用神经网络预测结构响应可以解决主动控制中的时滞问题，为控制决策提供依据。

Applying neural network to predict structural response may solve the problem of time lag in active control and offer basis for controlling decision.

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仿真结果显示，采用神经网络半主动控制能取得很好的减振效果，证明该方法是可行的。

Simulation results show that the excellent effect of mitigating cable vibration can be acquired with the neural network approach of semi-active control and that the approach is feasible.

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在噪声主动控制系统中采用神经网络控制方法，给出了神经网络BP算法的一种变异算法。

In the active noise control system we apply neural network control method and derive neural network BP algorithm.

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