A deep learning approach for stock market prediction using deep autoencoder and long short-term memory.
K. S. RekhaM. K. SabuPublished in: Int. J. Intell. Syst. Technol. Appl. (2021)
Keyphrases
- deep learning
- stock market prediction
- restricted boltzmann machine
- unsupervised feature learning
- deep belief networks
- deep architectures
- unsupervised learning
- empirical mode decomposition
- recurrent neural networks
- machine learning
- mental models
- weakly supervised
- non stationary
- artificial neural networks
- neural network
- signal processing
- multiscale
- decision making
- genetic algorithm