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In the second example network, we consider a model simplification strategy as used in [ 4, 17].
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In this paper, we have presented a strategy for model simplification and reduction based on the CSP method.
2. In the patterning modeling of BMP signaling pathways, it is often argued as a simplification strategy that omitting the step of recruitment of a Type II receptor to a bound BMP Type I receptor complex doesn't affect the outcomes of patterning models [ 4, 17, 23, 24].
The time scale separation analysis of the glycolysis model revealed five reactions (vPGI, vALD, vTIM, vlpPEP, and vPK) for which the simplification strategy can be applied.
Our simplification strategy is devised such that the essential features of full scale model are preserved.
We did not perform any model simplification and assessed model fit based on χ2-statistics.
A Computational Singular Perturbation (CSP) based simplification strategy for non-premixed combustion is proposed.
Model simplification and LDA parameters estimation.
Model simplification was performed using a backward stepwise algorithm.
Model simplification produced lower AIC scores in all cases.
We used a backward model simplification procedure by first fitting saturated models.
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