A principled distance-aware uncertainty quantification approach for enhancing the reliability of physics-informed neural network.
Jinwu LiXiangyun LongXinyang DengWen JiangKai ZhouChao JiangXiaoge ZhangPublished in: Reliab. Eng. Syst. Saf. (2024)
Keyphrases
- neural network
- distance measure
- pattern recognition
- artificial neural networks
- back propagation
- neural network model
- computer science
- genetic algorithm
- neural network is trained
- learning vector quantization
- feed forward
- recurrent neural networks
- distance function
- quantum mechanics
- fuzzy neural network
- highly reliable
- probabilistic model
- evidence theory
- fuzzy artmap
- fuzzy logic
- hopfield neural network
- wavelet neural network
- failure rate
- possibility theory
- quantitative evaluation
- training algorithm
- bp neural network
- prediction model
- uncertain data