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Based on the exact solutions, rules of thumb are examined and further improved.
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As an alternative to the algebraic solution, rules for block diagram manipulation and simplification are introduced in this chapter.
Then, the quality of the proposed solution (rules) is evaluated by (1) calculating the number of rules and matching metamodels in each rule and (2) assessing the quality of generated target models using a set of quality metrics.
That is for matching the solutions with rules.
It is not enough to say that "eventually" people will discover institutional solutions and rules to prevent these mistakes from happening.
In the second stage of rule mining, entire rule sets are refined to determine solutions considering rule interaction.
CERTAINLY, the best solution when rules get in the way of doing the right thing is to change them, or, better yet, to do away with the corrupt systems that have developed around them.
Proposed solutions include rule-based, dictionary-based, and Machine Learning (ML) approaches.
Section "Numerical study" performs a numerical study to compare the solutions of rule-based model with optimal solutions.
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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.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com