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. 2025 Apr 29;25(9):2793. doi: 10.3390/s25092793

Algorithm 1 The Softmax function

Require:

y (y \in {y_{0}, \dots, y_{J - 1}})

Ensure:

O (O \in {O_{0}, \dots, O_{J - 1}})

1:
for $(k = 0; k < J; k + +)$ do
2:
$O_{k} = 0$
3:
end for
4:
$s u m = 0$
5:
for $(k = 0; k < J; k + +)$ do // Attack point on loop counter
6:
$O_{k} = e x p (y_{k})$
7:
$s u m = s u m + O_{k}$
8:
end for
9:
for $(k = 0; k < J; k + +)$ do
10:
$O_{k} = O_{k} / s u m$
11:
end for