Research Article
Individual Growth Model for Eucalyptus Stands in Brazil Using Artificial Neural Network
Table 5
Statistics of height (Ht) and diameter (
.), as estimated and observed per age (months) and productive capacity class.
| Productive capacity class | Age (months) | Variable | Ht (m) | . (cm) | | CV % (±) | RMSE | Bias | Bias % | AMD | | CV % (±) | RMSE | Bias | Bias % | AMD |
| High () | 36 | 0.979 | 3.5 | 0.707 | −0.080 | −0.489 | 0.456 | 0.976 | 5.5 | 0.767 | −0.081 | −0.856 | 0.516 | 48 | 0.965 | 4.6 | 1.040 | 0.027 | 0.003 | 0.741 | 0.961 | 7.1 | 1.065 | −0.016 | −0.443 | 0.752 | 60 | 0.953 | 5.1 | 1.272 | −0.223 | −1.067 | 0.930 | 0.945 | 8.5 | 1.379 | −0.184 | −1.642 | 0.961 | 72 | 0.934 | 5.9 | 1.540 | −0.153 | −0.784 | 1.159 | 0.925 | 10.3 | 1.748 | −0.211 | −1.890 | 1.248 |
| Medium () | 36 | 0.981 | 3.4 | 0.621 | 0.090 | 0.494 | 0.453 | 0.981 | 4.8 | 0.624 | 0.147 | 1.246 | 0.461 | 48 | 0.957 | 5.1 | 1.091 | 0.219 | 1.017 | 0.848 | 0.962 | 7.0 | 0.971 | 0.135 | 1.174 | 0.754 | 60 | 0.938 | 6.3 | 1.437 | 0.170 | 0.635 | 1.154 | 0.940 | 9.0 | 1.345 | 0.137 | 0.964 | 1.067 | 72 | 0.921 | 7.1 | 1.747 | 0.149 | 0.369 | 1.425 | 0.922 | 10.7 | 1.685 | 0.162 | 0.965 | 1.351 |
| Low () | 36 | 0.966 | 4.1 | 0.635 | 0.025 | 0.101 | 0.486 | 0.975 | 5.4 | 0.565 | 0.061 | 0.559 | 0.416 | 48 | 0.947 | 5.7 | 1.031 | 0.216 | 1.015 | 0.811 | 0.953 | 7.7 | 0.924 | 0.265 | 2.163 | 0.735 | 60 | 0.921 | 7.0 | 1.440 | 0.442 | 2.017 | 1.138 | 0.929 | 9.6 | 1.266 | 0.414 | 3.138 | 1.012 | 72 | 0.903 | 7.8 | 1.684 | 0.420 | 1.642 | 1.327 | 0.909 | 11.0 | 1.507 | 0.427 | 2.806 | 1.201 |
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