The phrase "a significant amount of parameters" is correct and usable in written English.
It can be used when discussing the quantity of parameters in a context such as data analysis, programming, or statistical modeling.
Example: "The model was trained with a significant amount of parameters, which improved its accuracy."
Alternatives: "a considerable number of parameters" or "a large quantity of parameters".
Finally, a significant amount of feasible parameters sets exhibited very low switching probability in either direction (12%%), representing a possible robust differentiation of the bacterial population into two phenotypes, while (9 %) indicated high switching probabilities in both directions.
Sivey et al. [49] have suggested that respondents who have difficulty in choosing, who had a hard time understanding the choice tasks or who have very low marginal utilities for some attributes may exhibit choice behaviour that appears to be nearly random which may result in a significant amount of heterogeneity in the scale parameter.
While each parameter can contribute a significant amount of information about individual influenza seasons, it is the unique combination of these parameters that can improve predictability of seasonal influenza epidemics.
This was necessary since a significant amount of data was needed to define the parameters of the ontology and of the system itself.
This requires a significant amount of experimental data for estimation of the kinetic parameters.
It also explores the semantic automation of running experiments and simulations (for example, in "parameter sweeps") where a significant amount of material is represented by small variations in a common experimental program.
This is in agreement with the results of a previous listening test that suggested linear approximations to pitch parameter contours preserve a significant amount of emotion-specific information [21].
In addition, guidelines for adjusting these parameters are provided to relieve a significant amount of time-consuming trial-and-error experiments that are typically required with stochastic optimization.
Because detailed bit printing of each simulation requires a significant amount of simulation time, bit outputting can be suppressed by using the '-noBits' parameter.
I miss a significant amount of school.
