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The chapter also describes Chen's entity relationship (E R) modeling technique as the foundation of the principles for data modeling.
In addition to the response surface analysis, a multilayer perceptron neural network was applied for data modeling.
A multilayer feed-forward ANN model, with Levenberg Marquardt weight error correction was used for data modeling.
The delta-lognormal equation was used for data modeling to investigate the interaction between the output of the agonist and the antagonist neuromuscular systems.
Motivated by timesaving when dealing with the large-scale calculation for data modeling in parallel with multiple CPU cores or machines and result comparison, PML was designed in this study.
For me, the flexibility of graph technology is what makes it so valuable for data modeling.
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A major advantage of mixed linear models is that they allow for data modelling with a varying number of assessments per patient.
Bradley Sturt, PhD candidate in Operations Research TAA for Data, Models, and Decisions), won the Outstanding TA Award.
This universal approach renders the model very flexible and guarantees a well-defined structure for data model integration.
Finally, we describe some initial efforts towards developing a common standard for data model quality, which may provide a model for future standardisation efforts.
Because of this, the Premium version doesn't have some of the size limits for data models of the other versions.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

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