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B-PINNs: Bayesian physics-informed neural networks for forward and inverse PDE problems with noisy data.
Liu Yang
Xuhui Meng
George Em Karniadakis
Published in:
J. Comput. Phys. (2021)
Keyphrases
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noisy data
neural network
high dimensionality
noise tolerant
computer science
missing data
pattern recognition
level set
data mining
genetic algorithm
image segmentation
bayesian networks
input data
missing values
partial differential equations
learning from noisy data