Comparative Study of Support Vector Regression and Long Short-Term Memory for Stock Price Prediction

This study aims to compare the performance of two machine learning algorithms, Long Short-Term Memory (LSTM) and Support Vector Regression (SVR), in predicting the stock prices of PT Bank Rakyat Indonesia (BBRI) using daily historical data from January 1, 2020, to January 10, 2025. The data were pro...

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Hlavní autoři:	Aviva Pradasyah, Anna Baita
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	Politeknik Negeri Batam 2025-08-01
Edice:	Journal of Applied Informatics and Computing
Témata:	bbri, comparative analysis, lstm, stock price, svr
On-line přístup:	https://jurnal.polibatam.ac.id/index.php/JAIC/article/view/9425
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!