Research Article
Automatic Curve Fitting Based on Radial Basis Functions and a Hierarchical Genetic Algorithm
Table 9
Basis functions corresponding to the best function estimated from the experimental setup with 50 samples and SNR = 4.
| Test | Basis | | | |
| 1
| | 2.019124 | 0.689655 | 0.158368 | | 1.461036 | 0.827586 | 0.067736 | | −2.826506 | 0.862069 | 0.201430 | | 1.857911 | 1.000000 | 0.126618 |
| 2 | | −8.652872 | 0.275862 | 1.484126 | | 1.139507 | 0.482759 | 0.072935 | | 0.928305 | 0.517241 | 0.052756 | | 8.930352 | 0.896552 | 1.567421 |
| 3 | | −1.052161 | 0.137931 | 0.321876 | | 1.214086 | 0.482759 | 0.041275 | | 1.065797 | 0.517241 | 0.033858 | | 0.987050 | 0.896552 | 0.404330 |
| 4 | | −4.415701 | 0.310345 | 0.292465 | | 5.736092 | 0.448276 | 0.605733 | | 1.014713 | 0.482759 | 0.056770 | | 0.868994 | 0.517241 | 0.047533 | | −3.297666 | 0.931035 | 0.889548 |
| 5 | | −0.160610 | 0.344828 | 0.281685 | | −0.272302 | 0.448276 | 0.081592 | | −0.413769 | 0.482759 | 0.029738 | | 0.464189 | 0.517241 | 0.023852 | | 0.333063 | 0.551724 | 0.080594 | | 0.101939 | 0.620690 | 0.396612 |
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