State-of-Charge Prediction of Battery Management System Based on Principal Component Analysis and Improved Support Vector Machine for Regression.
Liang XuanLijun QianJian ChenXianxu BaiBing WuPublished in: IEEE Access (2020)
Keyphrases
- management system
- support vector machine
- principal component analysis
- stock market prediction
- prediction accuracy
- regression model
- support vector regression
- support vector
- dimension reduction methods
- multi class
- prediction model
- prediction error
- linear regression model
- ridge regression
- model selection
- face recognition
- principal components
- linear regression
- dimensionality reduction
- svm classifier
- decision support system
- training procedure
- electric vehicles
- radial basis function network
- feature vectors
- data sets
- radial basis function
- covariance matrix
- nonlinear regression
- target variable
- training set
- regression analysis
- regression problems
- partial least squares
- support vector machines for classification
- decision forest
- regression algorithm
- predictive clustering trees
- dimension reduction
- prediction algorithm
- predictive model
- gaussian processes
- linear discriminant analysis
- classification method
- kernel function
- support vector machine svm
- feature space
- training data
- feature selection