Research Article
Distribution-Based Identification of Yield Coefficients in a Baker’s Yeast Bioprocess
Table 2
Influence of the input type.
| Input type | | | | | | | | | | NMSE |
| 0.1 + 0.05 * sin() (noise free) | 0.4901 | 0.0500 | 0.1000 | 0.7199 | 1.2001 | 0.6401 | 0.8101 | 0.1100 | 1.1101 | 1.6046e-008 | 0.1 + 0.05 * sin() (SNR = 20 dB) | 0.4531 | 0.0517 | 0.1000 | 0.6926 | 1.2459 | 0.6644 | 0.7969 | 0.1112 | 1.1523 | 0.0015 | 0.1 + 0.005 * (noise free) | 0.4902 | 0.0500 | 0.1000 | 0.7198 | 1.2000 | 0.6402 | 0.8096 | 0.1100 | 1.1103 | 6.9366e-008 | 0.1 + 0.005 * (SNR = 20 dB) | 0.3842 | 0.0531 | 0.1002 | 0.6319 | 1.0730 | 0.7183 | 0.6754 | 0.1128 | 1.2459 | 0.0150 | 0.15 * exp(9 * 10−3) (noise free) | 0.4902 | 0.0500 | 0.1000 | 0.7198 | 1.2000 | 0.6402 | 0.8097 | 0.1100 | 1.1103 | 6.3148e-008 | 0.15 * exp(9 * 10−3) (SNR = 20 dB) | 0.4882 | 0.0488 | 0.1004 | 0.6660 | 1.0738 | 0.6880 | 0.6900 | 0.1111 | 1.1932 | 0.0056 |
| “Real” value | 0.49 | 0.05 | 0.1 | 0.72 | 1.2 | 0.64 | 0.81 | 0.11 | 1.11 | |
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