Neural Network-Based Uncertainty Quantification: A Survey of Methodologies and Applications

Neural Network-Based Uncertainty Quantification: A Survey of Methodologies and Applications

Uncertainty quantification plays a critical role in the process of decision making and optimization in many fields of science and engineering. The field has gained an overwhelming attention among researchers in recent years resulting in an arsenal of different methods. Probabilistic forecasting and...

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Bibliographic Details
Main Authors: H. M. Dipu Kabir, Abbas Khosravi, Mohammad Anwar Hosen, Saeid Nahavandi
Format: Article
Language:English
Published: IEEE 2018-01-01
Series:IEEE Access
Subjects:
Prediction interval
uncertainty quantification
heteroscedastic uncertainty
neural network
forecast
time series data
Online Access:https://ieeexplore.ieee.org/document/8371683/

Internet

https://ieeexplore.ieee.org/document/8371683/

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