Probabilistic Neural Networks (PNNs) for Modeling Aleatoric Uncertainty in Scientific Machine Learning

Probabilistic Neural Networks (PNNs) for Modeling Aleatoric Uncertainty in Scientific Machine Learning

This paper investigates the use of probabilistic neural networks (PNNs) to model aleatoric uncertainty, which refers to the inherent variability in the input-output relationships of a system, often characterized by unequal variance or heteroscedasticity. Unlike traditional neural networks that produ...

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Bibliographic Details
Main Authors: Farhad Pourkamali-Anaraki, Jamal F. Husseini, Scott E. Stapleton
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Probabilistic neural networks
aleatoric uncertainty
prediction interval
network architecture optimization
Online Access:https://ieeexplore.ieee.org/document/10771767/
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