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The response of the system to different inputs is studied and the response sensitivity to input parameter variations is examined.
The model can thereby adjust its sensitivity to input intensities ranging from dim moonlight to dazzling sunlight.
Depending on the model sensitivity to input parameters, these uncertainties may have a tremendous effect on the performance of the mGT.
The difference in the performance of multi- and single-stream highway networks is further analyzed on the basis of the networks' activation and sensitivity to input features.
Mean maximum and minimum seasonal temperatures and the dominance of glyphosate use were the variables that showed the highest sensitivity to input changes.
After the algorithm structure has been statistically optimised, the network sensitivity to input variations has been evaluated on simulated signals through a technique inspired by information gap theory.
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Sensitivities to input parameters are illuminated through kriging analysis of the finite element results; the parameter values are chosen via Latin hypercube sampling.
Futile cycle mechanisms are classically held to exhibit super-sensitivity to input [23], [24] which is what we observe in the case of FGF.
A weakening of sensitivity to low input distorts the input-output relation of a Michaelis-Menten process in a way that leads to a Hill equation type of response with k>1.
Layer 6 activates an on-center off-surround network of inputs to layer 4. Together these layer 4 inputs preserve analog sensitivity to LGN input contrasts.
This mechanism leads to an interesting effect, i.e. the gated spring does not just increase the sensitivity to any input, but preferentially to a repeated input.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com