研究基于神经网络的弹性连杆机构振动主动控制方法 .介绍了双隐层动态递归神经网络的数学模型 ,利用实验数据离线设计了神经网络辨识器与神经网络控制器 .采用基于神经网络的间接自适应控制策略对弹性连杆机构实施了振动主动控制 ,机构的动力学品质得到显著改善 .实验结果证明了该方法的有效性 This paper studies the method of active vibration control of flexible link mechanism based on neural network.The mathematic model of double hidden layer dynamic recurrent neural network is introduced.The neural network identifier and neural network controller are designed offline by experimental data.According to neural network indirect The adaptive control strategy is applied to the active control of the flexible link mechanism, and the dynamic quality of the mechanism is significantly improved.The experimental results show the effectiveness of the method