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Table 3 Randomly generated input data (link lengths) and output (foot profile length) using ANN, GA, and regression approach

From: Development of a model for a walking robot made of Desai mechanism using ANN and regression approach

Test set

Input: link lengths (mm)

Output: foot profile length (mm)

L2

L3

L5

L7

Theta

L8

EQ

ANN

GA

Regression

1

219.86

288.2

101.78

286.83

0.6

271.45

2.17

248.63

63.35

237.77

2

147.51

178.59

274.52

369.57

0.93

459.17

164.2

148.06

494.46

468.59

3

303.93

271.66

183.9

411.41

0.18

523.31

79.24

507.30

302.33

393.68

4

177.78

250.89

309.06

443.45

1.95

515.18

 − 22.81

338.94

 

437.30

5

136.01

149.47

269.63

453.94

1.35

477.2

116.67

309.47

 

433.46

6

193.38

302.27

304.93

484.46

3.21

404.16

136.41

885.40

229.02

238.09

7

110.09

243.76

291.64

288.9

1.5

256.46

39.77

268.05

229.023

324.79

8

106.51

208.6

170.46

393.84

1.89

347.66

96.35

369.82

 

289.46

9

213.26

194.78

307.52

313.96

1.53

284.39

 − 6.67

436.84

 

375.71

10

237.69

169.01

283.99

342

4.07

445.86

5.61

202.78

 

523.75

11

110.2

294.08

196.9

339.71

2.68

433.62

129.92

262.24

212.66

368.31