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Numeric examples illustrate the effectiveness of this method.
A series of numeric examples are used to demonstrate the effectiveness of the proposed granular classifiers.
Numeric examples are presented to show the application of the method.
Lastly, the effects of the crack depth and location on the admittance are examined in two numeric examples.
Numeric examples involve some low-dimensional synthetic data and selected data coming from the Machine Learning repository.
Numeric examples are concerned with the representation of time series and their visualization in the form of fuzzy cognitive maps.
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A numeric example illustrates the obtained results.
A numeric example was provided to graphically illustrate these errors.
Finally, the effectiveness of the proposed approach is verified via numeric example.
A numeric example was set to identify the applicability of the model.
Finally, the application of the SAS/IML program is illustrated with a numeric example.
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