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Correlation between structures that are truly variable and ones variable due to noise, will result in different regularization penalties selecting very different structures, leading to highly variable regression weights [ 23, 24].
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In addition, a different regularization scheme is applied to the time changing part of the model.
Then, in Section 3, we present the proposed regularized criterion after pointing out the different regularization used in the literature.
Based on the existing analogy, the reconstructed wind load in higher modes, derived from different regularization parameter estimation techniques, can also be validated.
In order to compare the convergence of LSRTM and RLSRTM, we present the data residual convergence curves for the simultaneous-source data with different regularization parameters in Fig. 10b.
This may be potentially a result of different regularization mechanisms in these methods and deserves further investigation.
Figure 1c shows how AUCs change at different regularization strengths ( λ in Algorithm 2).
Different regularization methods have been explored in the literature to avoid overfitting in deep learning models.
Now, we study reconstructions with different regularization parameters α, where larger α means we regularize in a stronger way, damping the error which comes from the measurement error.
Following on the regularized regression approach, many different models with different regularization methods were proposed.
Open image in new window Open image in new window Fig. 9 The inversion results from different regularization parameter selection methods.
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