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A new method based on the actual stress distribution of the cross-section is also presented for combined loading conditions, where the cross-sectional behaviour is directly tackled through the same strength curve, providing more accurate results than the methods considering the uncoupled problem.
The correlation to the methods considering flexibility information (2SHA and OAKFLEX) is marginal increased in comparison to the other methods.
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The methods considered are compared in several numerical examples.
The methods considered were based on gradient direction, directional openings and morphological granulometry.
It is found that these can have a significant effect on the methods considered.
The methods considered can be of theoretical, computational, experimental and observational nature.
The methods consider possible knowledge available from a given application.
The methods considered in the 7th conference on "Finite Volumes for Complex Applications" (Berlin, June 2014) have properties which offer distinct advantages for a number of applications.
Accuracy of the classifier versus number of components for the methods considered.
Notice that all the methods consider known distribution hyperparameters, which are application dependent.
The methods considered in the experiments were Linear Regression, Artificial Neural Network (ANN), Support Vector Machine (SVM) and Rotation Forest (RF).
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