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Finally, the model and solution method are evaluated by performing a case study.
The stochastic gradient method and the power iteration method are evaluated and compared in simulation examples.
The requirements of the internal reference method are evaluated and the merits and demerits considered.
Feasibility and efficiency of the method are evaluated by the Tennessee Eastman (TE) process case study.
The performances and stability of this method are evaluated using the wavenumbers and wave shapes.
Furthermore, kernel function selection and parameters settings which are used for SVM method are evaluated and discussed.
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The method was evaluated on a collection of 67 M.
The read depth method was evaluated using simulated datasets.
The proposed method was evaluated on in silico data and on pools of S. cerevisiae strains.
The performance of the method was evaluated.
This control method is evaluated experimentally.
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