"the baseline parameters" is a correct and usable phrase in written English.
It refers to the initial, standard, or starting values or conditions for a particular situation or system. It is typically used in technical or scientific contexts. Example: "The team conducted an experiment to determine the effects of varying the baseline parameters on the reaction time of participants."
Procurement principles can establish the baseline parameters for the identification and mapping process.
The baseline parameters used in computations are shown in Table 1.
Here note that the baseline parameters are automatically determined by the zero sum constraint of the corresponding ϕ-function.
The experimental section compared the baseline parameters obtained by Brox and Malik [21] against with four optimization techniques: SSO, NGHS, PSO, and NM.
In the first round, two optimization algorithms (SSO and PSO) achieved better results than the baseline parameters, and in the second round, all optimization algorithms achieved better results than the baseline.
Although Brox and Malik [21] did not present the methodology used to find the baseline parameters, this experiment highlighted the need for a fine-tune of parameters using optimization algorithms.
According to 100 20-year simulations with the baseline parameters given above, the probability of spread from the nine import stations along the western border of Russia was the highest for Belarus and the Baltic countries (Figure 6).
The baseline parameters of 3 iterations and 24 subsets and 5.0-mm post-filter for OSEM reconstruction have been in routine use since the scanner was commissioned in 2009.
Without appropriately unbiased initial guess of the baseline parameters, it is not easy to stably obtain the converging solution of the five location-dependent parameters in (5) due to the search in very high dimensional coefficient space.
Having obtained the optimal weights with coefficients of and as well as the baseline parameters in the μK-HIST-ETAS model, we use these initial inputs to stably estimate the HIST-ETAS model in (2) with five location-dependent parameters in (5) by the same optimization procedure as stated above.
The baseline parameters concern: (1) the hybrid IS and Phillips curves (lines 1, 3 and 4), (2) labor demand and supply (line 2), (3) parameters that characterize monetary policy (line 5) and fiscal policy rules (lines 6 and 7), (4) assumptions on policy preferences (line 8) and variances and autocorrelations of shocks (line 9).
