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This system was mathematically evaluated and simulated.
Results obtained in this study were mathematically evaluated using Mixture Design Method.
The generated RBF network was mathematically evaluated by several statistical indices and revealed better results than a classical quadratic response surface (RS) model.
The generated ANN network was mathematically evaluated by several statistical indices and revealed better results than a classical quadratic response surface (RS) model.
In addition to that, instantaneous stress ratio parameter coefficients Bi and Ai of the aluminium preforms were mathematically evaluated and simulated.
The obtained measurement results (Table 2) were mathematically evaluated in terms of the theory of errors from work of Rumshiskiy (1976).
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A response surface method (RS M was conducted to mathematically evaluate the level of significance of mixture parameters and their coupled interactions on the performance of SCCEMs.
Actuaries mathematically evaluate the probability of events and quantify the contingent outcomes in order to minimize the impacts of financial losses associated with uncertain undesirable events.
As it is too challenging to mathematically evaluate Θ from a statistical viewpoint due to the fact that all components I V, I V ¯, and I Δ are complicated and are dependent random variables, we perform a numerical evaluation of (38) instead.
Actuaries mathematically evaluate the probability of events and quantify the contingent outcomes in order to minimize the impacts of financial losses associated with uncertain, undesirable events.
The process is derived mathematically and evaluated.
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