Table 1 Results of different models when \(H=2\).

From: An AI framework for time series microstructure prediction from processing parameters

Models

ODF mape

Property

Property mape (%)

Selected_property_mape (%)

NN

7.99%

C

0.39

0.40

0.41

455.20

1825.67

271.38

0.40

0.40

0.39

0.40

856.53

1189.22

231.02

0.41

0.40

0.39

446.64

668.12

961.90

455.20

856.53

446.64

0.43

1138.86

616.94

1825.67

1189.22

668.12

1138.86

0.45

406.30

271.38

231.02

961.90

616.94

406.30

0.38

S

0.39

0.38

0.49

374.75

1048.77

275.15

0.38

0.39

0.50

489.05

529.87

1247.15

0.49

0.50%

0.38

463.55

310.11

1375.28

0.42

374.75

489.05

463.55

0.43

509.53

537.48

1048.77

529.87

310.11

509.53

0.45

510.46

275.15

1247.15

1375.28

537.48

510.46

0.38

seq2seq

2.43%

C

0.21

0.21

0.21

138.01

675.90

46.36

0.21

0.21

0.21

292.83

242.43

59.16

0.21

0.21

0.21

129.29

478.43

263.14

0.21

138.01

292.83

129.29

0.22

323.30

369.71

675.90

242.43

478.43

323.30

0.22

103.75

46.36

59.16

263.14

369.71

103.75

0.21

S

0.21

0.21

0.23

205.68

325.89

59.03

0.21

0.21

0.23

184.89

95.64

105.58

0.23

0.23

0.21

150.04

65.28

301.64

0.21

205.68

184.89

150.04

0.22

108.30

335.80

325.89

95.64

65.28

108.30

0.22

130.13

59.03

105.58

301.64

335.80

130.13

0.21

  1. Important values are in bold.