Artificial Neural Network-Salp-Swarm Algorithm for Stock Price Prediction
Predicting stock prices is a challenging task due to the numerous factors that impact them. The dataset used for analyzing stock prices often displays complex patterns and high volatility, making the generation of accurate predictions difficult. To address these challenges, this study proposes a hyb...
Published in: | Iraqi Journal of Science |
---|---|
Main Author: | Mustaffa Z.; Sulaiman M.H.; Aziz A.A. |
Format: | Article |
Language: | English |
Published: |
University of Baghdad-College of Science
2024
|
Online Access: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85213894243&doi=10.24996%2fijs.2024.65.12.34&partnerID=40&md5=8d8509a660b69d5988537a76707829d9 |
Similar Items
-
Connectedness among crude oil prices, stock index and metal prices: An application of network approach in the USA
by: 2-s2.0-85063253739
Published: (2019) -
Predicting fraudulent financial reporting using artificial neural network
by: 2-s2.0-85019490600
Published: (2017) -
Improved Whale Optimization Algorithm with LSTM for Stock Index Prediction
by: Sun Y.; Mutalib S.; Tian L.
Published: (2025) -
Improved Whale Optimization Algorithm with LSTM for Stock Index Prediction
by: Sun, et al.
Published: (2025) -
Application of Artificial Neural Networks for Performance Prediction of a Large-Scale Solar Farm in Eastern Malaysia
by: Md Mazmi M.I.W.B.; Ahmad N.; Aziz M.A.S.A.; Rining A.R.; Pirdaus N.A.; Annuar I.
Published: (2024)