Exact(33)
Model sensitivity analysis showed that the model was very sensitive to parameters such as temperature, pond size, feed and stocking density, hence accurate estimation of these parameters is recommended for optimal performance of the model.
The pseudo-global sensitivity analysis revealed that the model dynamics are very sensitive to parameters DNA0 and k tr, in agreement with the results of the local sensitivity analysis for Model II.
We found that SNNC is very sensitive to parameters.
However, we conducted a great number of experiments for this method and note that it is very sensitive to parameters selection.
However, the difference in GHG emission estimates was negligible because they were more sensitive to parameters for milling and waste (Figure7b and c).
Furthermore, while arrival time lag is most sensitive to parameters that control river velocity (channel roughness and stream slope), return time lag is most sensitive to groundwater parameters (aquifer hydraulic conductivity, recharge rate, and dispersitivity).
Similar(27)
The sensitivity analysis shows that the model is sensitive to parameter changes.
A sensitivity value near zero means that gene activity is not sensitive to parameter perturbation at all.
First, the change of MVN is sensitive to parameter variation and presents large fluctuation.
First and foremost, the algorithm is sensitive to parameter, that is, the number of skewers.
The proposed model is stable, computationally efficient, and not very sensitive to parameter variations.
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