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Publicado en línea: 23 dic 2022
Páginas: 2705 - 2716
Recibido: 08 jul 2022
Aceptado: 07 ago 2022
DOI: https://doi.org/10.2478/amns.2021.2.00280
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© 2023 Yifang Wang, published by Sciendo
This work is licensed under the Creative Commons Attribution 4.0 International License.
Fig. 1
![Minimum uncertainty neural network structure. [A] Layer: the sample input layer; A is the observed value, and Xii is the observed value of the attribute xi. [B] Layer: weight selection layer, when xii′ ∈ A, Oii′ = 1; otherwise, Oii′ = 0. [C] Layer: weighted calculation layer; there is Eq. (8) to get sj. [D] Layer: Uncertainty output layer, and the πj output is obtained by using Eqs (11) and (12)](https://sciendo-parsed.s3.eu-central-1.amazonaws.com/6470a2f171e4585e08aa1c67/j_amns.2021.2.00280_fig_001.jpg?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Content-Sha256=UNSIGNED-PAYLOAD&X-Amz-Credential=AKIA6AP2G7AKOUXAVR44%2F20251012%2Feu-central-1%2Fs3%2Faws4_request&X-Amz-Date=20251012T001612Z&X-Amz-Expires=3600&X-Amz-Signature=16dcfe650b269db465e7f11ff416c852b681614750c1261b1bc23ee9570150c3&X-Amz-SignedHeaders=host&x-amz-checksum-mode=ENABLED&x-id=GetObject)
Fig. 2
