A Recurrent Probabilistic Neural Network with Dimensionality Reduction Based on Time-series Discriminant Component Analysis.
Hideaki HayashiTaro ShibanokiKeisuke ShimaYuichi KuritaToshio TsujiPublished in: CoRR (2019)
Keyphrases
- probabilistic neural network
- component analysis
- linear dimensionality reduction
- dimensionality reduction
- pattern classification
- principal component analysis
- low dimensional
- factor analysis
- feature extraction
- blind source separation
- self organizing maps
- neural network
- particle swarm optimization algorithm
- speaker identification
- discriminant analysis
- feed forward
- artificial neural networks
- recurrent neural networks
- extracted features
- non stationary
- linear discriminant analysis
- pattern recognition
- high dimensional
- independent component analysis
- feature space
- image processing