Innovative Deep Learning Model-based Stock Price Prediction using a Hybrid Approach of CNN and Gradient Recurrent Unit-Reference-Cited by-同舟云学术

Innovative Deep Learning Model-based Stock Price Prediction using a Hybrid Approach of CNN and Gradient Recurrent Unit

Published:2023-06-01 Issue: Volume: Page:
ISSN:
Container-title:2023 8th International Conference on Communication and Electronics Systems (ICCES)
language:
Short-container-title:

Author:

Rao B. Srinivasa¹,Bhattacharya Rajib²,Tiwari Manoj Kumar³,Kumari K. Aruna⁴,Devmane Mahavir A.⁵,Singh Kamlesh⁶

Affiliation:

1. Gokaraju Rangaraju Institute of Engineering and Technology,Department of Computer Science and Engineering,Hyderabad,Telangana,India

2. Globsyn Business School,Department of PGDM,Chandipur,West Bengal,India

3. JECRC University,Department of Computer Application,Jaipur,Rajasthan,India

4. GITAM (Deemed to be) University,Mathematics. GSS,Visakhapatnam,India

5. VPPCOE & VA,Department of Computer Engineering,Mumbai,Maharashtra,India

6. Graphic Era Hill University,Department of Computer Science and Engineering,Dehradun,India

Publisher

IEEE

Link

Reference28 articles.

Cited by 2 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

2. Stock Price Prediction Using Artificial Intelligence: A Literature Review;2024 ASU International Conference in Emerging Technologies for Sustainability and Intelligent Systems (ICETSIS);2024-01-28