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将人工神经网络（ＡＮＮ）技术引入振动钻削领域，研究适用于变参数振动钻削过程仿真与参数优化的神经网络模型和算法。实验表明， ＡＮＮ优化精度较高，为振动钻削研究提供了新的分析方法与途径。
The artificial neural network (ANN) technology is introduced into the field of vibration drilling, and the neural network model and algorithm suitable for the simulation and parameter optimization of the variable parameter vibration drilling process are studied. Experiments show that the ANN optimization accuracy is high, which provides a new analysis method and approach for vibration drilling research.