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In some models, the inputs were extended to the stress coefficient and the rock brittleness coefficient.
In order to verify and validate the controller logic worked as desired I built a demonstration board that models the inputs and outputs of the system.
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In the case of the dog demo, for instance, it models the input device (my bare hands) as different bones that can collide with the dog.
In the first phase, it models the input information's vagueness through fuzzy sets.
Also in the study model, the inputs do not transform into the outputs directly.
In this present paper, we model the inputs as pulsatile signals of different characteristics.
The objective is to systemically model the input uncertainties and quantify the confidence in the output of hemodynamic simulations.
In the model, the input of the system is U (t) which is the displacement of the massless arm.
In other words, the trained model is too complex to model the input so that the generalization ability becomes worse.
In the first stage of the model, the input signals to the left and right ears are filtered with a bank of band-pass filters [26].
The model, the input parameters, and the simulation technique are described below.
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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