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将神经网络技术应用于柴油机双层隔振装置，构造了一种 ＡＶＣ（Ａｃｔｉｖｅ Ｖｉｂｒａｔｉｏｎ Ｃｏｎｔｒｏｌ）系统。用实际柴油机信号作为激扰力，应用 ＭＡＴＬＡＢ进行有源控制仿真，结果表明这种 ＡＶＣ系统是行之有效的，在某些主要频率下振动可衰减１５ｄＢ左右。
The neural network technology is applied to diesel double-layer vibration isolation device to construct an Active Vibration Control (AVC) system. Using the real diesel signal as the disturbing force, MATLAB is used to simulate the active control. The results show that this kind of AVC system is effective, and the vibration can attenuate about 15dB at some main frequencies.