Page 182 - Data Science Algorithms in a Week

166 Djordje Cica and Davorin Kramar

Table 5. Comparison between predicted main cutting force and experimental results

Testing Exp. value of BP-based ANN GA-based ANN PSO-based ANN
data set Fc Fc Error Fc Error Fc Error
1 1370 1257.9 8.2 1329.1 3.0 1409.8 2.9
2 1235 1164.4 5.7 1204.1 2.5 1262.4 2.2
3 1400 1366.2 2.4 1383.5 1.2 1337.7 4.5
4 1390 1286.3 7.5 1302.6 6.3 1344.8 3.3
5 1190 1131.9 4.9 1215.8 2.2 1162.1 2.3
6 1320 1291.4 2.2 1308.9 0.8 1293.1 2.0
7 1450 1285.8 11.3 1278.5 11.8 1329.4 8.3
8 1465 1432.4 2.2 1419.1 3.1 1379.6 5.8
9 1320 1344.1 1.8 1364.1 3.3 1285.6 2.6

Table 6. Comparison between predicted feed force and experimental results

Testing Exp. value of BP-based ANN GA-based ANN PSO-based ANN
data set Ff Ff Error Ff Error Ff Error
1 570 535.6 6.0 530.9 6.9 584.5 2.5
2 520 535.7 3.0 544.6 4.7 540.5 3.9
3 630 594.9 5.6 650.5 3.3 612.6 2.8
4 565 578.7 2.4 554.9 1.8 566.0 0.2
5 475 459.7 3.2 491.8 3.5 472.3 0.6
6 555 551.0 0.7 566.7 2.1 527.0 5.0
7 620 537.8 13.3 530.1 14.5 544.7 12.1
8 565 517.0 8.5 547.0 3.2 531.0 6.0
9 590 535.7 9.2 545.1 7.6 588.7 0.2

Table 7. Comparison between predicted passive force and experimental results

Testing Exp. value of BP-based ANN GA-based ANN PSO-based ANN
data set Fp Fp Error Fp Error Fp Error
1 470 407.2 13.4 438.4 6.7 446.2 5.1
2 440 405.5 7.8 416.0 5.5 452.1 2.8
3 510 508.5 0.3 508.0 0.4 532.7 4.5
4 485 478.8 1.3 498.8 2.8 486.0 0.2
5 415 388.5 6.4 393.4 5.2 407.1 1.9
6 465 483.8 4.0 445.1 4.3 479.6 3.1
7 475 461.9 2.8 460.8 3.0 456.7 3.9
8 478 444.0 7.1 433.0 9.4 431.6 9.7
9 460 406.1 11.7 462.8 0.6 444.7 3.3