Randomized prior wavelet neural operator for uncertainty quantification.
Shailesh GargSouvik ChakrabortyPublished in: CoRR (2023)
Keyphrases
- network architecture
- neural network
- translation invariant
- wavelet coefficients
- wavelet transform
- prior knowledge
- uncertain data
- neural fuzzy
- wavelet decomposition
- multiscale
- possibility theory
- multiresolution analysis
- denoising
- prior information
- neural model
- bio inspired
- multiresolution
- wavelet packet
- feature extraction
- wavelet function
- randomized algorithm
- inherent uncertainty
- wavelet tree
- wavelet transformation
- uncertain information
- aggregation operators
- belief functions
- artificial neural networks
- image processing
- decision making