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RETRACTED ARTICLE: Integrating Deep Learning and Reinforcement Learning for Enhanced Financial Risk Forecasting in Supply Chain Management
12 references·2 citing·56 second hop
RETRACTED ARTICLE: Integrating Deep Learning and Reinforcement Learning for Enhanced Financial Risk Forecasting in Supply Chain Management (2024)RETRACTED ARTICLE: Integrating Deep Learn…Recent advances in reinforcement learning in finance (2023)Recent advances in reinforcem…A multi-agent deep reinforcement learning framework for algorithmic trading in financial markets (2022)A multi-agent deep reinforcem…Predictive big data analytics for supply chain demand forecasting: methods, applications, and research opportunities (2020)Predictive big data analytics…Predicting financial distress using hybrid feedforward neural network with cuckoo search algorithm (2020)Predicting financial distress…Digitally-enabled sustainable supply chains in the 21st century: A review and a research agenda (2020)Digitally-enabled sustainable…Artificial intelligence in supply chain management: A systematic literature review (2020)Artificial intelligence in su…A CNN–LSTM model for gold price time-series forecasting (2020)A CNN–LSTM model for gold pri…Machine Learning in Banking Risk Management: A Literature Review (2019)Machine Learning in Banking R…Deep Robust Reinforcement Learning for Practical Algorithmic Trading (2019)Deep Robust Reinforcement Lea…A constrained portfolio trading system using particle swarm algorithm and recurrent reinforcement learning (2019)A constrained portfolio tradi…A Data Mining-Based Framework for Supply Chain Risk Management (2018)A Data Mining-Based Framework…Deep learning networks for stock market analysis and prediction: Methodology, data representations, and case studies (2017)Deep learning networks for st…Deep learning-based financial risk early warning model for listed companies: A multi-dimensional analysis approach (2025)Deep learning-based financial…Evaluate Multi-Objective Optimization Model for Product Supply Chain Inventory Control Based on Grey Wolf Algorithm (2024)Evaluate Multi-Objective Opti…Does the Stock Market Overreact? 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References

  • 2020Artificial intelligence in supply chain management: A systematic literature review1,015 cited
  • 2020A CNN–LSTM model for gold price time-series forecasting869 cited
  • 2017Deep learning networks for stock market analysis and prediction: Methodology, data representations, and case studies833 cited
  • 2020Predictive big data analytics for supply chain demand forecasting: methods, applications, and research opportunities505 cited
  • 2019Machine Learning in Banking Risk Management: A Literature Review463 cited
  • 2020Digitally-enabled sustainable supply chains in the 21st century: A review and a research agenda334 cited
  • 2023Recent advances in reinforcement learning in finance211 cited
  • 2018A Data Mining-Based Framework for Supply Chain Risk Management187 cited
  • 2019Deep Robust Reinforcement Learning for Practical Algorithmic Trading152 cited
  • 2022A multi-agent deep reinforcement learning framework for algorithmic trading in financial markets119 cited
  • 2019A constrained portfolio trading system using particle swarm algorithm and recurrent reinforcement learning79 cited
  • 2020Predicting financial distress using hybrid feedforward neural network with cuckoo search algorithm38 cited

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  • 2025Deep learning-based financial risk early warning model for listed companies: A multi-dimensional analysis approach26 cited

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  • 2024Evaluate Multi-Objective Optimization Model for Product Supply Chain Inventory Control Based on Grey Wolf Algorithm13 cited