Rectified Linear Units and Adaptive Moment Estimation Optimizer on ANN with Saved Model Prediction to Improve The Stock Price Prediction Framework Performance

Rectified Linear Units and Adaptive Moment Estimation Optimizer on ANN with Saved Model Prediction to Improve The Stock Price Prediction Framework Performance

A stock is a high-risk, high-return investment product. Prediction is one way to minimize risk by estimating future prices based on past data. There are limitations to solving the stock prediction problem from previous research: limited stock data, practical aspects of application, and less than opt...

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Bibliographic Details
Main Authors: Sekhudin Sekhudin, Yuli Purwati, Fandy Setyo Utomo, Mohd Sanusi Azmi, Pungkas Subarkah
Format: Article
Language:English
Published: Fakultas Ilmu Komputer UMI 2023-08-01
Series:Ilkom Jurnal Ilmiah
Subjects:
closing price
intelligent system
investment
machine learning
supervised learning
Online Access:https://jurnal.fikom.umi.ac.id/index.php/ILKOM/article/view/1586

Internet

https://jurnal.fikom.umi.ac.id/index.php/ILKOM/article/view/1586

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