A FUSION MODEL FOR STOCK MARKET PREDICTION USING PROPHET AND LONG SHORT-TERM MEMORY NEURAL NETWORKS

Predicting the stock market can be difficult because of its inherent volatility and complexity. Machine learning approaches have demonstrated potential in identifying patterns and trends in financial data, enabling precise prediction-making in recent times. In this work, we combine the advantages of...

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Bibliographic Details

Published in:	Proceedings on Engineering Sciences
Main Authors:	Shruti Mishra, Manjunathan N, Parangat Singh, Sandeep Kumar Satapathy, Sung-Bae Cho, Sachi Nandan Mohanty
Format:	Article
Language:	English
Published:	University of Kragujevac 2025-03-01
Subjects:	lstm prophet regression rmse mse mae
Online Access:	https://pesjournal.net/journal/v7-n1/64.pdf