Research Article
Estimation of Optimum Dilution in the GMAW Process Using Integrated ANN-GA
Table 6
Comparison of actual and predicted values of the clad bead parameters using neural network data (test).
| Trial no. | Actual bead parameters | Predicted bead parameters | Error | (mm) | (mm) | (mm) | (%) | (mm) | (mm) | (mm) | (%) | (mm) | (mm) | (mm) | (%) |
| 1 | 6.9743 | 1.6735 | 6.0262 | 10.721 | 6.1945 | 1.85 | 5.9611 | 12.367 | 0.7798 | −0.177 | 0.0651 | −1.646 | 2 | 7.6549 | 1.9715 | 5.8873 | 12.167 | 7.1815 | 2.1507 | 6.5553 | 10.268 | 0.4734 | −0.179 | −0.668 | 1.899 | 3 | 6.3456 | 1.6986 | 5.4519 | 12.746 | 7.4954 | 1.5339 | 5.4923 | 9.3808 | −1.15 | 0.1647 | −0.04 | 3.3652 | 4 | 7.7635 | 1.7396 | 6.0684 | 10.611 | 6.4936 | 1.854 | 6.5573 | 9.4799 | 1.2699 | −0.114 | −0.489 | 1.1311 | 5 | 7.2683 | 2.443 | 5.7206 | 16.673 | 7.3354 | 2.6576 | 5.5657 | 19.104 | −0.067 | −0.215 | 0.1549 | −2.431 | 6 | 9.4383 | 2.4905 | 5.9169 | 15.967 | 7.6066 | 2.1045 | 6.4342 | 18.49 | 1.8317 | 0.386 | −0.517 | −2.523 | 7 | 6.0823 | 2.4672 | 5.492 | 16.589 | 8.0417 | 2.1722 | 5.5126 | 16.874 | −1.959 | 0.295 | −0.021 | −0.285 | 8 | 8.4666 | 2.0737 | 5.9467 | 14.985 | 8.3236 | 2.2349 | 5.9031 | 16.972 | 0.143 | −0.161 | 0.0436 | −1.987 | 9 | 6.3029 | 1.5809 | 5.9059 | 10.275 | 8.2381 | 1.7955 | 5.6022 | 11.219 | −1.935 | −0.215 | 0.3037 | −0.944 | 10 | 7.0136 | 1.5662 | 5.9833 | 9.7073 | 7.5899 | 2.4579 | 6.542 | 13.415 | −0.576 | −0.892 | −0.559 | −3.708 | 11 | 6.2956 | 1.586 | 5.5105 | 11.117 | 7.7318 | 1.7647 | 5.8676 | 10.71 | −1.436 | −0.179 | −0.357 | 0.407 |
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