Design of Hyperparameter Tuned Deep Reinforcement Learning Based Prediction Model for Financial Crisis-Reference-Cited by-同舟云学术

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Design of Hyperparameter Tuned Deep Reinforcement Learning Based Prediction Model for Financial Crisis

Published:2023-07-15 Issue: Volume: Page:
ISSN:
Container-title:2023 6th International Conference on Engineering Technology and its Applications (IICETA)
language:
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Author:

Alkhafaji Mohammed Ayad¹,Ameer S. Abdul²,Alawadi Ahmed Hussien³,Sharif Haider⁴

Affiliation:

1. National University of Science and Technology,Dhi Qar,Iraq

2. Ahl Al Bayt University,Karbala,Iraq

3. The Islamic university,Najaf,Iraq

4. Medical Technical College, Al-Farahidi University,Baghdad,Iraq

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10351190/10351191/10351362.pdf?arnumber=10351362

Reference26 articles.

1. Stock Price Crash Warning in the Chinese Security Market Using a Machine Learning-Based Method and Financial Indicators

2. A Machine Learning-based DSS for mid and long-term company crisis prediction

3. Forecasting stock market crisis events using deep and statistical machine learning techniques

4. How are reinforcement learning and deep learning algorithms used for big data based decision making in financial industries–A review and research agenda

5. Modern Perspectives on Reinforcement Learning in Finance

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Deep Reinforcement Learning in Stock Trading: Evaluating DDPG and DQN Strategies;2024 International Conference on Emerging Smart Computing and Informatics (ESCI);2024-03-05

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