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Hybrid proper orthogonal decomposition (PODh) formulation is a POD-based reduced-order modeling method where the continuous equation of the physical system is projected on the POD modes obtained from a discrete model of the system.
In the case of a single explanatory variable and outcome, locally-weighted regression ("lowess") is a robust modeling method; where adjustment for covariates is required, several alternative curve-fitting strategies exist.
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Our modeling method can be generalized and extended to the modeling of other bio-processes.
where (P_{g_{i}g_{i}^{prime }}) is determined by channel statistics and FSMC modeling method in A4 and (P_{b_{i}b_{i}^{prime }}^{a_{i}}) is the queue state transition probability.
This method combines the merits of both fuzzy modeling/control and PSO method, where fuzzy modeling/control is proposed to approximate/control the nonlinear process in a large operating region and the PSO-based intelligent optimization method is developed to solve non-convex and non-differential integration problem with design and control optimized simultaneously.
Kamide-Richmond-Matsushita (modeling method).
spherical elementary current systems (modeling method).
the modeling method of multiple regression.
Reference [56] proposes the modeling method for the overlap section.
We follow the modeling method proposed in [28, 29].
Thus, the modeling method has been shown to be efficient.
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