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GUM-compliant neural network robustness verification - a Masters thesis
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ludwig10_masters_thesis
GUM-compliant neural network robustness verification - a Masters thesis
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53071882
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53071882
authored
2 years ago
by
Björn Ludwig
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wip(thesis): refine preliminaries
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152fbc29
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src/thesis/preliminaries.tex
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53071882
...
...
@@ -10,7 +10,7 @@ regarding those definitions.
\section
{
Terms related to measurement uncertainty
}
\label
{
sec:terms-related-to
-measurement-uncertainty
}
\begin{definition}
[
u
ncertainty]
\begin{definition}
[
U
ncertainty]
\label
{
def:uncertainty
}
(or
\enquote*
{
measurement uncertainty
}
or
\enquote*
{
uncertainty of measurement
}
)
(non-negative) parameter, associated with the result of a measurement, that
...
...
@@ -18,7 +18,6 @@ regarding those definitions.
the measurand
\end{definition}
\begin{definition}
[Standard uncertainty]
\label
{
def:standard-uncertainty
}
(or
\enquote*
{
standard measurement uncertainty
}
or
\enquote*
{
standard uncertainty
...
...
@@ -35,7 +34,8 @@ regarding those definitions.
these other quantities weighted according to how the measurement result varies
with changes in these quantities
\begin{equation}
\uc
^
2(y) =
\sum
_{
i=1
}^{
N
}
\left
(
\frac
{
\partial
f
}{
\partial
x
_
i
}
\right
)
^
2 u
^
2(x
_
i)
\uc
(y) =
\sqrt
{
\sum
_{
i=1
}^{
N
}
\left
(
\frac
{
\partial
f
}{
\partial
x
_
i
}
\right
)
^
2 u
^
2
(x
_
i)
}
\label
{
eq:combined-standard-uncertainty
}
\end{equation}
\end{definition}
...
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