Feature selection for state-of-charge estimation of LiFePO4-Li4Ti5O12 batteries via electrochemical impedance.
Aleksei La RuePeter J. WeddleRobert J. KeeTyrone L. VincentPublished in: ACC (2020)
Keyphrases
- feature selection
- mutual information
- text categorization
- feature set
- estimation accuracy
- energy efficient
- estimation algorithm
- classification accuracy
- neural network
- knn
- machine learning
- real time
- wireless sensor networks
- text classification
- unsupervised learning
- feature space
- feature subset
- density estimation
- information gain
- support vector
- feature selection algorithms
- robust estimation