Sparse Optimistic Based on Lasso-LSQR and Minimum Entropy De-Convolution with FARIMA for the Remaining Useful Life Prediction of Machinery.
Bo WuYangde GaoSonglin FengTheerasak ChanwimalueangPublished in: Entropy (2018)
Keyphrases
- sparse representation
- prediction accuracy
- elastic net
- group lasso
- prediction model
- feature selection
- regularized regression
- generalized linear models
- variable selection
- image processing
- regression model
- prediction algorithm
- least squares
- sparse matrix
- multiscale
- sparse coding
- kernel methods
- long range
- prediction error
- image classification
- signal processing
- sea surface