The phrase "methodology model" is correct and usable in written English.
It is typically used to describe a plan or system of processes. For example, "This project requires a detailed methodology model to ensure successful completion."
To investigate the advantages and disadvantages of the introduced mathematical processes for the similar cutting process problems, a review list are also given for the optimization on volumetric metal removal rate (VMRR), wear ratio (WR), material removal rate (MRR) and surface roughness (SR) by distinguishing the modeling methodology, model types, and optimization algorithms.
The modeling abilities of the response surface methodology model and neural network model, as well as the optimizing abilities of response surface methodology and the genetic algorithm based on a neural network model were compared.
The results showed that the root mean square error and the standard error of prediction for the neural network model were much smaller than those for the response surface methodology model, indicting that the neural network model had a much higher modeling ability than the response surface methodology model.
Additionally, we estimated changes in adult and fetal blood lead levels using EPA's Adult Lead Methodology model.
There is a good unanimity between the experimental data and two models, but the artificial neural network model was stronger and more accurate than the response surface methodology model.
Sensitivity analyses will be performed to address uncertainty regarding methodology, model specification and prior distributions.
Here, the diffusion of propionic acid into Ca-alginate hydrogel beads is studied using a structured methodology, model-based experimental analysis (MEXA).
It is, therefore, desirable to develop a documentation model that can be integrated into different engineering processes and used to effectively communicate product information within a single project and between projects, combining strategies from product design methodology, model-based systems engineering, and lean development.
The methodology models both the feedstock composition and the process reactions at a molecular level.
The response surface methodology models were derived based on the results.
By employing response surface methodology, models to predict areal biomass and lipid productivities were derived.
