From Models to Granular Models
The use of information granularity is regarded as an essential design asset whose optimal allocation helps in augmenting existing models. In this chapter, we discuss several development scenarios and classes of numeric models in which the allocation of information granularity provides tangible benefits in order to better capture the experimental data, form granular conclusions, or offer a more detailed insight into the parameters of the original models.
10.1 Knowledge Transfer in System Modeling
In a nutshell, knowledge transfer is about forming ways that an existing source of knowledge (namely, an existing model) can be used in the presence of new, very limited, experimental evidence. In virtue of the nature ...
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