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Enhancing Stock Price Prediction in the Indonesian Market: A Concave LSTM Approach with Runrelu Cover

Enhancing Stock Price Prediction in the Indonesian Market: A Concave LSTM Approach with Runrelu

Journal of Automation, Mobile Robotics and Intelligent Systems
Volume 18 (2024): Issue 3 (September 2024)
By:  and    
Open Access
|Sep 2024
Authors

Authors

Mohammad Diqi

diqi@respati.ac.id

Dept. of Informatics, Universitas Respati Yogyakarta, Yogyakarta, Indonesia

I Wayan Ordiyasa

wayanordi@respati.ac.id

Dept. of Informatics, Universitas Respati Yogyakarta, Yogyakarta, Indonesia
DOI: https://doi.org/10.14313/jamris/3-2024/24 | Journal eISSN: 2080-2145 | Journal ISSN: 1897-8649
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Language: English
Page range: 69 - 77
Submitted on: Oct 4, 2023
Accepted on: Jan 26, 2024
Published on: Sep 12, 2024
Published by: Łukasiewicz Research Network – Industrial Research Institute for Automation and Measurements PIAP
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
stock price prediction,
concave LSTM,
Run- ReLU,
Indonesian stock exchange,
financial forecasting
Related subjects:
Computer sciences,
Artificial intelligence,
Engineering,
Electrical engineering,
Control engineering, metrology and testing,
Mechanical engineering,
Fundamentals of mechanical engineering

© 2024 Mohammad Diqi, I Wayan Ordiyasa, published by Łukasiewicz Research Network – Industrial Research Institute for Automation and Measurements PIAP
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Volume 18 (2024): Issue 3 (September 2024)
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