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Poly-linear regression with augmented long short term memory neural network: Predicting time series data
16 references·0 citing·45 second hop
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(1971)Time Series Analysis: Forecasting and Control (1977)25 years of time series forecasting (2006)NSE Stock Market Prediction Using Deep-Learning Models (2018)Stock Closing Price Prediction using Machine Learning Techniques (2020)Predicting the Price of Bitcoin Using Machine Learning (2018)Predicting Stock Market Trends Using Machine Learning and Deep Learning Algorithms Via Continuous and Binary Data; a Comparative Analysis (2020)Short-term stock market price trend prediction using a comprehensive deep learning system (2020)Forecasting principles and practiceStock price prediction using deep learning and frequency decomposition (2020)A Review of ARIMA vs. Machine Learning Approaches for Time Series Forecasting in Data Driven Networks (2023)Chaos and Nonlinear Dynamics: Application to Financial Markets (1991)Predicting stock and stock price index movement using Trend Deterministic Data Preparation and machine learning techniques (2014)Prediction of stock price direction using a hybrid GA-XGBoost algorithm with a three-stage feature engineering process (2021)An Overview of Machine Learning, Deep Learning, and Reinforcement Learning-Based Techniques in Quantitative Finance: Recent Progress and Challenges (2023)Long memory and persistence in aggregate output (1989)Surveying stock market forecasting techniques – Part II: Soft computing methods (2008)A LSTM-based method for stock returns prediction: A case study of China stock market (2015)A survey on machine learning models for financial time series forecasting (2022)Deep learning models for price forecasting of financial time series: A review of recent advancements: 2020–2022 (2023)Forecast energy demand, CO2 emissions and energy resource impacts for the transportation sector (2023)A CNN–LSTM model for gold price time-series forecasting (2020)An Advanced CNN-LSTM Model for Cryptocurrency Forecasting (2021)Stock market prediction using deep learning algorithms (2021)Stock Price Prediction Using CNN-BiLSTM-Attention Model (2023)A desicion-theoretic generalization of on-line learning and an application to boosting (1995)A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting (1997)Computational Intelligence and Financial Markets: A Survey and Future Directions (2016)A systematic review of fundamental and technical analysis of stock market predictions (2019)Literature review: Machine learning techniques applied to financial market prediction (2019)
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References

  • 2017Deep learning with long short-term memory networks for financial market predictions2,827 cited
  • 2018A Comparison of ARIMA and LSTM in Forecasting Time Series1,382 cited
  • 2017A deep learning framework for financial time series using stacked autoencoders and long-short term memory1,131 cited
  • 2017Stock price prediction using LSTM, RNN and CNN-sliding window model1,096 cited
  • 2020A CNN-BiLSTM-AM method for stock price prediction633 cited
  • 2015Evaluating multiple classifiers for stock price direction prediction597 cited
  • 2018An innovative neural network approach for stock market prediction476 cited
  • 2020Deep Learning for Stock Market Prediction446 cited
  • 2016Forecasting daily stock market return using dimensionality reduction395 cited
  • 2020Fractional Neuro-Sequential ARFIMA-LSTM for Financial Market Forecasting371 cited
  • 2020A novel graph convolutional feature based convolutional neural network for stock trend prediction284 cited
  • 2018Evaluation of bidirectional LSTM for short-and long-term stock market prediction257 cited
  • 2016Artificial Neural Networks architectures for stock price prediction: comparisons and applications206 cited
  • 2016Bridging the divide in financial market forecasting: machine learners vs. financial economists195 cited

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  • 2013Forecasting with twitter data169 cited
  • 2013Forecasting S&P 500 index using artificial neural networks and design of experiments156 cited
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