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It is observed that the ANFIS model is better than ANN for developing the model and increasing the input parameters.
Averbakh et al. (2007), Dias et al. (2008a), Dias et al. (2008b), Albareda-Sambola et al. (2009) worked on developing the model and presenting a new solution.
Thus, the full building simulations give a better representation of the hygrothermal performance of the building but this is at a high cost of developing the model and relatively long times for computing.
We discuss the motivations and various issues in developing the model and the software environment, present the design of the system architecture and the components, and describe the evaluation of the environment implemented on top of MPI with a sample parallel scientific application program.
EZ was involved in developing the model and material.
AS assisted in developing the model and helped drafting the manuscript.
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He participated in developing the models and finalized the manuscript.
The first series was used for developing the models and the second series to verify them.
HJR initiated the project and participated in developing the models and the manuscript.
Multivariable logistic regression was used to develop the model and identify the significant predictors for the development of complications.
PvO developed the model and conducted the statistical analysis.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com