Inferring the Langevin Equation with Uncertainty via Bayesian Neural Networks.
Youngkyoung BaeSeungwoong HaHawoong JeongPublished in: CoRR (2024)
Keyphrases
- neural network
- decision theory
- dempster shafer
- artificial neural networks
- pattern recognition
- back propagation
- recurrent neural networks
- neural network model
- bayesian decision
- inherent uncertainty
- fuzzy systems
- bayesian inference
- neural nets
- posterior probability
- conditional probabilities
- fault diagnosis
- maximum likelihood
- multiscale
- genetic algorithm
- feed forward
- mathematical model
- fuzzy logic
- image sequences
- radial basis function
- reinforcement learning
- belief functions
- possibility theory
- bayesian estimation
- bayesian networks