Parameter estimation procedure based on input-output integro-differential polynomials. Application to the Hindmarsh-Rose model.
Nathalie VerdièreCarine JauberthiePublished in: ECC (2020)
Keyphrases
- parameter estimation
- input output
- parameter values
- random fields
- probabilistic model
- least squares
- em algorithm
- maximum likelihood
- maximum likelihood estimation
- statistical models
- noise cancellation
- markov random field
- model selection
- posterior distribution
- latent variables
- model fitting
- expectation maximization
- parameter estimation algorithm
- parameter estimates
- experimental data
- internal states
- dynamic model
- fuzzy model
- neural network
- statistical model
- similarity measure
- three dimensional
- machine learning