How can we predict transportation stock prices using artificial intelligence? Findings from experiments with Long Short-Term Memory based algorithms

•Predict transport stock prices using LSTM with different activations and optimizers.•Compare LSTM performance across different activations and optimizers.•Evaluate multiple transportation stocks to identify best-performing models.•Implement optimized LSTM models in a web-based application for real-...

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Bibliographic Details

Published in:	International journal of information management data insights Vol. 4; no. 2; p. 100293
Main Authors:	Kristiyanti, Dinar Ajeng, Pramudya, Willibrordus Bayu Nova, Sanjaya, Samuel Ady
Format:	Journal Article
Language:	English
Published:	Elsevier Ltd 01.11.2024 Elsevier
Subjects:	Activation Long short-term memory Optimizer Prediction Transportation stock Long short-term memory Transportation stock Activation Optimizer Prediction
ISSN:	2667-0968, 2667-0968
Online Access:	Get full text
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