Learning uncertainty with artificial neural networks for predictive process monitoring

Hans Weytjens; Jochen De Weerdt

doi:10.1016/j.asoc.2022.109134

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Learning uncertainty with artificial neural networks for predictive process monitoring

Hans Weytjens Jochen De Weerdt

Year: 2022 Journal: Applied Soft Computing Vol: 125 Pages: 109134-109134 Publisher: Elsevier BV

DOI: 10.1016/j.asoc.2022.109134

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Keywords:

Computer science Artificial neural network Machine learning Process (computing) Artificial intelligence Uncertainty quantification Bayesian probability Noise (video) Bayesian network Prediction interval

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Topics

Data Stream Mining Techniques

Physical Sciences → Computer Science → Artificial Intelligence

Anomaly Detection Techniques and Applications

Physical Sciences → Computer Science → Artificial Intelligence

Fault Detection and Control Systems

Physical Sciences → Engineering → Control and Systems Engineering

Learning uncertainty with artificial neural networks for predictive process monitoring

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Citation History

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