Comparison of Variant Principal Component Analysis Using New RNN-based Framework for Stock Prediction.
Shuyan LiuYue ChenPublished in: WI/IAT (Workshop/Special Session) (2021)
Keyphrases
- principal component analysis
- main contribution
- dimensionality reduction
- prediction accuracy
- neural network
- singular value decomposition
- probabilistic model
- low dimensional
- lightweight
- recurrent neural networks
- dimension reduction
- discriminant analysis
- pattern recognition
- multi agent
- training data
- image sequences
- website
- information systems
- genetic algorithm