A Contribution to Time Series Analysis and Forecasting Using Deep Learning Approaches
Author:
Affiliation:
1. FST Al-Hoceima, UAE,Laboratory of R&D in ES,Tetouan,Morocco,93000
2. University of Burgundy,IMVIA Laboratory,Dijon,France,21078
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10553373/10553653/10553976.pdf?arnumber=10553976
Reference18 articles.
1. Comparative analysis of 1stm, encoder-decoder and gru models for stock price prediction;Arora
2. News-based intelligent prediction of financial markets using text mining and machine learning: A systematic literature review
3. Petroleum Price Prediction with CNN-LSTM and CNN-GRU Using Skip-Connection
4. Temporal Convolutional Networks with RNN approach for chaotic time series prediction
5. Long Short-Term Memory Networks for Driver Drowsiness and Stress Prediction
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