The phrase "adapt parameters" is correct and usable in written English.
You can use it in contexts where you need to modify or adjust specific settings or values, often in technical or scientific discussions.
Example: "To improve the model's performance, we need to adapt parameters based on the latest data."
Alternatives: "modify settings" or "adjust values."
Several strategies have been adopted in order to better adapt parameters to the problem under resolution and to increase the algorithm's performance.
CT users must adapt parameters to optimise patient dose and image quality.
Different from previous researches on algorithmic parameter control, the proposed method could adapt parameters to handle problems with different budget setting without the interaction of users.
Rather than existing researches on algorithmic parameter control methods [8, 10], the proposed population size reduction method could adapt parameters to handle problems with different budget without the interface of users.
Neuromodulation offers the possibility to adapt parameters to avoid undesired consequences and to obtain the maximum clinical benefit.
The last step confirmed that the indicator is considered useful by decision-makers but also reveals that in some cases users adapt parameter values to their situation.
A major benefit of our modeling approach is the possibility to verify our best fit parameter values via experimental studies, or vice versa, to adapt parameter values when empiricism delivers new insights.
Olsen et al. showed that most of the adapted parameters obtained by MAP adaptation are not closely related to speech recognition performance [6, 7].
The design process adapts parameters for signal processing and classification.
In fact, a study has shown that the same model, with adapted parameters, applied to different case studies performed well but did not excel, when compared to models that were optimized for the specific task.
The merit of the suggested controller design scheme is that the number of online adapted parameters is independent of the number of nodes of the neural networks, which reduces the number of the online adaptive learning laws considerably.
