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Although the verification set is used to identify the best network, actually, training algorithms do not use the verification set to adjust network weights.
The data were divided into a "calibration" and a "verification" set.
The verification set is used for early stopping [35], which reduces the tendency to overtrain.
The optimal network parameters were selected according to the RMSE of verification set.
This data is verified through the verification set also gathered from the simulator.
The objective function is evaluated against the verification set after each iterative incremental improvement with respect to the training set and network training is halted when the objective function for the verification set fails to improve for 15 consecutive iterations.
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The obtained transformation was then applied to both the enrollment and verification sets.
Data remaining after extraction of the external validation set was further divided into a training pool (further divided into "training" and "verification" sets) and an external test set.
However, for the epochs in the range of 5 × 103 to 30 × 103, the errors on both training and verification sets were in the acceptable range (Figure 6).
The potential of both models was also validated on two independent verification sets: one consisting of specimens loaded under a variable amplitude spectrum and another of an alternative matrix system, subjected to constant amplitude fatigue.
In a verification setting, we use all possible combinations for matching genuine pairs and the first sample of each subject is chosen for imposter matches (5880 (210×8×7/2) genuine comparisons and 21945 (210×209/2) imposter comparisons) in order to evaluate the performance of the biometric hashing scheme.
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