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The key point is the choice of the most discriminant latent variables in the training step.
The training step requires much effort (processing) while the analysis is effectuated almost without computational effort.
The capabilities of the network were tested with 155 substances not considered in the training step.
The MDT differs from other decision tree techniques for establishing, in the training step, one value of the categorical attributes by branch.
The target value of the AI models in the training step is the corrected vulnerability indices that relate to the first NO3-N concentration dataset.
Overall the proposed approach is shown to significantly reduce the number of simulations required for the training step and to bring flexibility in terms of emission source definition.
Fig. 10 Convergence in the training step of node 4.
Fig. 9 Timeline for the reception of data in the training step.
The performance parameters used in the training step of the networks are given in Table 2.
Figure 5 shows absolute error fluctuations of data in the training step.
a l and b are the SVM parameters set during the training step.
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CEO of Professional Science Editing for Scientists @ prosciediting.com