Parameter estimation with the Markov Chain Monte Carlo method aided by evolutionary neural networks in a water hammer model.
Raphael Costa CarvalhoIasmin Louzada HerzogHelcio R. B. OrlandeMarcelo José ColaçoItalo Marcio MadeiraNirupam ChakrabortiPublished in: Comput. Appl. Math. (2023)
Keyphrases
- markov chain
- monte carlo method
- parameter estimation
- gibbs sampling
- posterior distribution
- parameter values
- monte carlo
- maximum likelihood estimation
- maximum likelihood
- em algorithm
- genetic algorithm
- model selection
- evolutionary neural networks
- probabilistic model
- markov random field
- prior knowledge
- markov chain monte carlo
- bp neural network
- random fields
- probability distribution
- expectation maximization
- state space
- mathematical models
- density function
- least squares
- mathematical model
- bayesian learning
- higher order
- machine learning