Sentence examples for complexity of a model from inspiring English sources

Determining the optimal complexity of a model is largely dependent on the modelling purpose and available (known) material properties.

Therefore, it makes selecting the true complexity of a model possible because unnecessarily complex models are poor in predicting independent datasets.

The research confirms the complexity of a model in which cognitive, cognitive affective and affective elements are present, and advances knowledge on the consequences of perceived interactivity.

This paper presents a systematic methodology for designing move blocking strategies to reduce the complexity of a model predictive controller for linear systems, with explicit optimisation of the blocking structure using mixed-integer programming.

It is pointed out that even though the complexity of a model could be a limiting factor for control purposes, in the case of dynamic studies this factor is not a constraint and it is possible to use more complex models.

It describes the tradeoff between bias and variance (accuracy and complexity) of a model.

The aim of this work is to reduce the complexity of a simulation model design.

A combined spectroscopic method utilizing surface-enhanced Raman scattering (SERS) and infrared reflection absorption spectroscopy (IRRAS) has been employed to study the structural complexities of a model bilayer system.

The approach helps to solve a huge problem in many analytics and stream learning applications, namely the complexity of building a model of the real-world system that generates data.

The increased complexity of such a model may necessitate the use of the rule-based modeling approach, which is designed for reaction networks with large numbers of proteins with complicated interactions, activities and post-translational modifications.

On closer inspection the complexity of such a model rapidly overshadows the initial appeal of the apparent simplicity of the integration message.