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Moreover, using ANOVA and Tukey test, statistical difference significance between the classification methods was significantly surveyed.
Also the relationships between the included number of observables in the classification methods and the prediction accuracy have been investigated.
The classification methods are grouped into three categories and it is shown that only one group is useful for structural reliability, according to some specific criteria.
The classification methods of multiobjective optimization are based on the number of Pareto solutions, as well as the preferences of decision maker.
Using the classification methods on the fused Landsat ETM+ PAN imagery, we were able to detect the pens substantial to almost perfect (70 95% accuracy).
In this paper, the advantages and disadvantages of multivariate discriminant analysis and feed-forward neural networks as classifiers are discussed, and then the strategy integrating the classification methods of two different kinds is proposed.
General references covering the classification methods we have sketched are (Duda et al. 2001; Bishop 2006).
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The RI values of the solvent probes serve as the basis for the classification method introduced by Rohrschneider.
A class of 44 is recommended for the classification method.
This classification method emphasizes on the applicability of the classification method in input actuator selection and dimension design.
As a result, the feature selection method improves the effectiveness and efficiency of the classification method.
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