Parameters identification and discharge capacity prediction of Nickel-Metal Hydride battery based on modified fuzzy c-regression models.
Moêz SoltaniAchraf Jabeur TelmoudiYassine Ben BelgacemAbdelkader ChaariPublished in: Neural Comput. Appl. (2020)
Keyphrases
- regression model
- linear regression model
- prediction model
- prediction intervals
- linear regression models
- regression analysis
- linear model
- survival analysis
- target variable
- model selection
- multiple linear regression
- prediction accuracy
- gaussian process
- fuzzy inference system
- regression methods
- generalized linear models
- fuzzy neural network
- regression trees
- parameter identification
- fuzzy rules
- independent variables
- fuzzy clustering
- support vector regression
- multivariate regression
- explanatory variables
- response variable
- generalized linear
- decision trees
- interval valued data
- predictor variables
- fuzzy logic
- extreme values
- root mean square error
- fuzzy systems
- soft computing
- membership functions
- fuzzy sets