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Furthermore, the recurrent formulas for constructing the tables for arbitrary numbers of parameters are introduced.
Adjoint method-based sensitivity for field-scale history matching with large numbers of parameters suffers from several limitations.
As the latest development of such a pursuit, this paper presents a family of speed density models with varying numbers of parameters.
Different models are characterized by polynomials of different degrees that have different numbers of parameters.
Multilinear regressions have now been developed, offering the possibility of screening high numbers of parameters.
Then, different SVM models with M × N (C, γ) numbers of parameters combined are trained.
The degrees of freedom are given by the difference in the numbers of parameters estimated in the two models.
The difference between the numbers of parameters becomes even larger when the number of inputs and the number of MFs of inputs of ANFIS are increased.
by taking into consideration different numbers of parameters in the feed forward and feedback channels and shifting properties of input data.
The difference between the numbers of parameters can lead to the difference observed between the fractal dimensions ((D_{l}^{{prime }})) listed in Table 1 for each sample.
Instead, we have shown how global optimization algorithms, implemented using sophisticated parallel processing protocols, can allow optimal values of very large numbers of parameters to be identified.
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