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

 
  • 通過(guò)高精度的數控移動(dòng)工件臺獲取密集的樣本數據,并在神經(jīng)網(wǎng)絡(luò )訓練過(guò)程中采用貝葉斯正則化方法。
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