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The effectiveness of the presented meta-models in the analysis of models with continuous and categorical inputs is illustrated with several test cases and also with results from a real analysis.
An ANFIS schematic overview with four inputs is illustrated in Fig. 5.
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Such an input is illustrated in the top example trace (Fig. 1a: 300 pA).
The different types of chemical input are illustrated in Fig. 5.
Two types of refinements are considered, namely, a predicate refinement and a refinement based on selected sets of parameterized inputs as is illustrated in details in Section 5. A high-level overview of the algorithm is provided below and the detailed algorithm is given in the following subsection.
Finally, the sensitivity of the response of a non-linear dynamical system excited by a random process to the input law is illustrated by an example.
The resulting decentralized control design scheme including input constraints is illustrated on the laboratory plant of two interconnected DC motor system.
The relation between the theoretical value of and the kurtosis of the input signal is illustrated in Figure 10(b).
The input signal is illustrated with a dashed line, while the solid line denotes the measured response.
The percentage of repeat for the four categories of GP input variables is illustrated in Fig. 6.
How the neuron receiving this amount of synaptic inputs might look is illustrated in Figure 1.
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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