An Improved Method for Stochastic Nonlinear System's Identification Using Fuzzy-Type Output-Error Autoregressive Hammerstein-Wiener Model Based on Gradient Algorithm, Multi-Innovation, and Data Filtering Techniques.
Donia Ben Halima AbidSaif Eddine AboudaHanène MedhaffarMohamed ChtourouPublished in: Complex. (2021)
Keyphrases
- input data
- autoregressive
- k means
- filtering algorithm
- computational complexity
- autoregressive moving average
- segmentation algorithm
- probabilistic model
- similarity measure
- segmentation method
- data points
- random fields
- adaptive filtering
- moving average
- em algorithm
- model selection
- parameter estimation
- energy function
- edge detection
- image compression
- graph cuts
- prior knowledge
- pairwise
- feature space
- piecewise constant
- machine learning