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The transitions of the state and the inputs are shown in Fig. 11.
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 membership functions for the inputs are shown in Fig. 3 (a) & (b) and for output variable is shown in Fig. 3(c).
The resulting simulated images, using the appropriate DCSs predicted by QM CC calculations as inputs, are shown in Fig. 4 as well.
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.
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A detail of the landmark data and morph inputs is shown on (a).
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.
An FSM abstraction M 1 B of M 1 derived using B = {B} and a selected set of parameterized inputs is shown in Fig. 4.
An example map measured from one network trained on
The effect of noisy inputs is shown in Figure 4, where both input concentrations are affected by stochastic noise within different intervals.
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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