Neural Networks for Biomedical Signals Classification Based on Empirical Mode Decomposition and Principal Component Analysis.
Abdoul-Dalibou AbdouNdeye Fatou NgomSamba SidibéOumar NiangAbdoulaye ThiouneCheikh H. T. C. NdiayePublished in: InterSol/CNRIA (2017)
Keyphrases
- empirical mode decomposition
- neural network
- pattern recognition
- principal component analysis
- biomedical signals
- non stationary
- feature vectors
- classification accuracy
- stock market prediction
- feature extraction
- feature space
- eeg signals
- signal analysis
- pattern classification
- input image
- feature set
- high dimensional
- face recognition
- feature selection