Dense sample data are acquired by using numerical control platform of high precision, and the Bayesian generalization is adopted during training the neural network.

通过高精度的数控移动工件台获取密集的样本数据，并在神经网络训练过程中采用贝叶斯正则化方法。

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Some of hidden trouble of safety which should be neglected easily in the numerical control tools training are summarized, and the different tokens, causations and solutions are introduced too.

总结数控加工中多种容易被忽视的安全隐患，分别介绍各自的表征、原因和解决方法。

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