Chinese Journal of Mechanical Engineering

Table 6 RMSE of all the models in the first experimental case

From: Multi-Scale Convolutional Gated Recurrent Unit Networks for Tool Wear Prediction in Smart Manufacturing

Models	Datasets
Models	c₁	c₄	c₆
LR	27.89	40.98	48.86
SVR	25.89	35.95	33.72
MLP	21.71	26.04	20.56
CNN	20.15	18.82	13.35
MCNN	21.09	18.26	12.69
RNN	17.48	18.38	19.56
Deep RNN	15.65	18.19	16.63
LSTM	16.76	17.64	16.26
Deep LSTM	16.32	17.27	13.79
GRU	16.57	17.48	13.93
Deep GRU	14.41	16.88	12.59
CBLSTM [18]	10.80	7.10	9.80
CGRU	14.38	13.95	12.27
MCGRU	8.27	6.81	9.08

Bold face indicates the best performance

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