A Recurrent Probabilistic Neural Network with Dimensionality Reduction Based on Time-series Discriminant Component Analysis.
Hideaki HayashiTaro ShibanokiKeisuke ShimaYuichi KuritaToshio TsujiPublished in: IEEE Trans. Neural Networks Learn. Syst. (2015)
Keyphrases
- probabilistic neural network
- component analysis
- linear dimensionality reduction
- dimensionality reduction
- pattern classification
- principal component analysis
- feature extraction
- blind source separation
- factor analysis
- low dimensional
- self organizing maps
- discriminant analysis
- non stationary
- speaker identification
- neural network
- extracted features
- pattern recognition
- artificial neural networks
- particle swarm optimization algorithm
- linear discriminant analysis
- feed forward
- high dimensional data
- recurrent neural networks
- unsupervised learning
- high dimensional
- nearest neighbor
- subspace learning
- computer vision