Can the model be designed to be robust to perturbations in input parameters?
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Yes, a model can be designed to be robust to perturbations in input parameters. Robustness ensures that the model performs reliably and maintains stability even when the input parameters deviate slightly from expected values or contain noise.
Yes, a model can be designed to be robust to perturbations in input parameters by incorporating specific techniques and methodologies during its development and training process.