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Table 3 reports the training database.
One day the Aetna training database might crash.
Suffix database was created using the same training database.
To characterize the range of body shape variation, the training database was analyzed statistically.
The training database is automatically actualized in order to adapt the neural networks.
To implement this method practically, the training database for the PNN is generated by 3D-FEM.
It was found that a 13 years training database improves long-term chloride ingress assessment.
We collected 100,000 coupled patches as the external training database.
The large training database also made it possible to use gender-specific analysis in BN2.
Then, we create a training database and we execute on it the selected full-reference metric.
There is also no need for the maintenance of a training database.
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