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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)
![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-Date=20240708T222321Z&X-Amz-SignedHeaders=host&X-Amz-Expires=18000&X-Amz-Credential=AKIA6AP2G7AKP25APDM2%2F20240708%2Feu-central-1%2Fs3%2Faws4_request&X-Amz-Signature=e3a6fccc00ac7cabd80443956cd52bc409f67614ae2b5df0f31e598adb224406)
