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Feature selection schemes [41]; regularisation methods [42, 46]; and the so called ensemble learning technique (which is currently popular [42, 47, 48]) are good examples of these approaches.
A computer code is developed and implemented using the BEM multi-region technique and regularisation methods to perform the inverse analysis.
Both our and the study by Reilhac et al. showed that temporal noise regularisation methods that preserve resolution are attractive strategies for IDM implementation and result in partial volume corrections with similar noise levels as the original non-PVC data.
For this purpose, the so-called regularisation methods can be employed.
In a previous work, Freiberger et al. [ 17] introduced an alternating direction minimisation method to solve non-linear regularisation methods.
Nevertheless, in order to preserve edge information in the reconstructed image, non-linear regularisation methods, such as total variation (TV) [ 15], can be advantageous.
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The Lasso is an attractive regularisation method for high-dimensional regression.
We apply a nonlocal regularisation method to a breakage model recently proposed for the constitutive modelling of crushable granular materials.
A surface regularisation method that comes up to these requirements has been developed by Prof. Bletzinger and his team at the Technical University of Munich (TUM) [28, 29].
The Tikhonov regularisation method incorporating the L-curve criterion for determining the regularisation parameter is then employed to reduce the influence of measurement errors in dynamic response data and then to produce stable solutions for structural damage parameters.
Since the discretised BEM system is ill-posed and hence the associated least-squares solution may be inaccurate and/or physically meaningless, the Tikhonov regularisation method is employed in order to retrieve accurate and physically correct solutions.
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