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An ensemble of triangle-shaped inputs was shown to be suitable for this purpose, since each up/down ramp stimulus tests the target system with a distinct pair of positive and negative gradients while also sweeping a wide range of input amplitudes (Kim et al., 2011).
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Inputs are shown on the right.
The rulebase inputs are shown in blue and the outputs – or "goals" – are highlighted in orange.
The transitions of the state and the inputs are shown in Fig. 11.
A detail of the landmark data and morph inputs is shown on (a).
The fuzzy membership functions (FMS) of inputs are shown in Fig. 3.
Figure 30 shows the turning paths of Case I, the optimal inputs are shown in Figure 20.
The bottom wire mesh which makes connections to the inputs is shown by green while the top wires are shown by yellow and provide connections to the outputs.
The membership functions for the inputs are shown in Fig. 3 (a) & (b) and for output variable is shown in Fig. 3(c).
Model inputs are shown in Table 1 and were estimated from expert judgement, based on experience and knowledge of the scientific literature and analogous volcanoes.
The resulting simulated images, using the appropriate DCSs predicted by QM CC calculations as inputs, are shown in Fig. 4 as well.
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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