Deep Learning Approach for Short-Term Stock Trends Prediction Based on Two-Stream Gated Recurrent Unit Network.
Dang Lien MinhAbolghasem Sadeghi-NiarakiHuynh Duc HuyKyungbok MinHyeonjoon MoonPublished in: IEEE Access (2018)
Keyphrases
- short term
- deep learning
- long term
- stock market
- load forecasting
- motion prediction
- chaotic time series
- short term prediction
- short term and long term
- unsupervised feature learning
- arima model
- long term memory
- wind speed
- machine learning
- forecasting model
- unsupervised learning
- short and long term
- medium term
- power generation
- neural network
- mental models
- supervised learning
- multiscale