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...
出版年: | Iraqi Journal of Science |
---|---|
第一著者: | Mustaffa Z.; Sulaiman M.H.; Aziz A.A. |
フォーマット: | 論文 |
言語: | English |
出版事項: |
University of Baghdad-College of Science
2024
|
オンライン・アクセス: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85213894243&doi=10.24996%2fijs.2024.65.12.34&partnerID=40&md5=8d8509a660b69d5988537a76707829d9 |
類似資料
-
Connectedness among crude oil prices, stock index and metal prices: An application of network approach in the USA
著者:: 2-s2.0-85063253739
出版事項: (2019) -
Predicting fraudulent financial reporting using artificial neural network
著者:: 2-s2.0-85019490600
出版事項: (2017) -
Improved Whale Optimization Algorithm with LSTM for Stock Index Prediction
著者:: Sun Y.; Mutalib S.; Tian L.
出版事項: (2025) -
Improved Whale Optimization Algorithm with LSTM for Stock Index Prediction
著者:: Sun, 等
出版事項: (2025) -
Application of Artificial Neural Networks for Performance Prediction of a Large-Scale Solar Farm in Eastern Malaysia
著者:: Md Mazmi M.I.W.B.; Ahmad N.; Aziz M.A.S.A.; Rining A.R.; Pirdaus N.A.; Annuar I.
出版事項: (2024)