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The optimization is an MINLP problem depending on two kinds of design variables: continuous process variables and integer variables representing the molecular structure of the working fluid.
The performance criteria are thoroughly depended upon design variables, continuous and discrete, associated with the excitation and the characteristics of the structure.
In this paper we have evaluated the gene expression programming (GEP) methodology for modeling the effect of different variables (continuous and nominal) and their interactions on the properties of direct compression formulations.
This chapter presents the fundamentals of different artificial intelligence methods, artificial neural networks (ANN), genetic algorithms and fuzzy logic, as useful tools to model the effect of different variables (continuous and nominal) and their interactions on the properties of pharmaceutical formulations.
Table 2 Summary statistics of variables Continuous variables Observations Mean Std.
Variables: Continuous Variables: (v_{p,t}) Production lot size of product (p) in time period (t).
Similar(26)
For each variable (continuous or categorical), the percentage of missing values will be reported.
For each variable, continuous scores were used, with higher scores indicating greater victimization.
To make a discrete variable a continuous variable his utility goes up linear at the rate of forty-four per ticket.
*Estimated with arsenic exposure variable as continuous variable in model.
Mixed studies, which combine discontinuous variables and continuous variables or mixture variables and discontinuous or continuous variables, are considered.
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