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Table 5 MAE 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

c1

c4

c6

LR

20.02

39.00

47.19

SVR

21.41

30.84

28.32

MLP

16.50

23.95

16.82

CNN

15.29

17.15

11.72

MCNN

14.34

16.51

11.07

RNN

14.37

14.85

15.78

Deep RNN

12.93

13.86

13.43

LSTM

13.86

14.52

13.64

Deep LSTM

12.59

13.30

11.46

GRU

13.36

14.29

12.12

Deep GRU

11.41

13.09

10.55

CBLSTM [18]

7.50

6.10

8.10

CGRU

9.65

10.98

10.06

MCGRU

6.87

6.04

7.42

  1. Bold face indicates the best performance