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The Network-Oriented Modelling approach based on adaptive temporal causal networks, as described here (see also [1, 10]), provides a dynamic modelling approach that enables a modeller to design high-level conceptual model representations in the form of cyclic graphs (or connection matrices).
In this paper, the parameter selection capabilities of the group method of data handling (GMDH) as an inductive self-organizing modelling method are used to construct sparse random sampling high dimensional model representations (RS-HDMR), from which the Sobol's first and second order global sensitivity indices can be derived.
Results indicate that ForestSimMPB model representations of MPB outbreaks are more similar than Random model representations to the spatial distribution of MPB-dead trees.
Older adults may preferentially favor event model representations at the expense of incidental details.
Another issue for consideration is that learner model representations may contain some uncertainty.
SeRUM draws upon semantic functional model representations of design concepts and computer science semantic relatedness techniques.
This theoretical approach yields categories of observationally equivalent model representations with precise semantic relationships.
This chapter outlines model representations available for the solution of engineering problems.
Robotic techniques for sensing measure plant attributes (e.g. leaves) from visual information using 3D model representations.
The design of practically any complex engineered system is accompanied by theoretical analyses based on model representations.
In contrast, a small section of the fault diagnosis literature has focused on qualitative data and model representations.
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