Dung beetle optimization with deep learning approach for solving inverse problems in predicting financial futures

Dung beetle optimization with deep learning approach for solving inverse problems in predicting financial futures

Leveraging deep learning (DL) to inverse problems has proven transformative in predicting financial futures, mainly in stock price prediction. In terms of financial markets, where predicting stock price is a challenging inverse problem, DL methods like long short-term memory networks (LSTM) and recu...

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Bibliographic Details
Main Authors: Hind Alnafisah, Hiyam Abdulrahim, Abaker A. Hassaballa, Amer Alsulami, Adil.O.Y. Mohamed
Format: Article
Language:English
Published: Elsevier 2024-12-01
Series:Alexandria Engineering Journal
Subjects:
Inverse Problem
Data Consistency
Deep Learning
Stock Market
Honey Badger Algorithm
Hyperparameter Selection
Online Access:http://www.sciencedirect.com/science/article/pii/S1110016824009785
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