Topology Approach for Crude Oil Price Forecasting of Particle Swarm Optimization and Long Short-Term Memory
Forecasting crude oil prices hold significant importance in finance, energy, and economics, given its extensive impact on worldwide markets and socio-economic equilibrium. Using Long Short-Term Memory (LSTM) neural networks has exhibited noteworthy achievements in time series forecasting, specifical...
الحاوية / القاعدة: | International Journal of Advanced Computer Science and Applications |
---|---|
المؤلف الرئيسي: | Yusoff M.; Ehsan D.; Sharif M.Y.; Sallehud-din M.T.M. |
التنسيق: | مقال |
اللغة: | English |
منشور في: |
Science and Information Organization
2024
|
الوصول للمادة أونلاين: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85185004760&doi=10.14569%2fIJACSA.2024.0150150&partnerID=40&md5=181d15d3d1e63664888ed7469c276a3b |
مواد مشابهة
-
Hyperparameter Analysis-based Long-Short Term Memory (LSTM) for Power Quality Disturbances Classification
بواسطة: Fadzli M.F.H.M.; Shahbudin S.
منشور في: (2024) -
Lung diseases identification using hybrid transfer learning and bidirectional long short-term memory
بواسطة: Cahyani D.E.; Oktoviana L.T.; Yasin M.; Wahyuningsih S.; Dionixius; Maulidaningsih R.; Setumin S.
منشور في: (2025) -
Anomaly detection using K-Means and long-short term memory for predictive maintenance of large-scale solar (LSS) photovoltaic plant
بواسطة: 2-s2.0-85173448238
منشور في: (2023) -
Artificial Neural Network-Salp-Swarm Algorithm for Stock Price Prediction
بواسطة: Mustaffa Z.; Sulaiman M.H.; Aziz A.A.
منشور في: (2024) -
Connectedness among crude oil prices, stock index and metal prices: An application of network approach in the USA
بواسطة: 2-s2.0-85063253739
منشور في: (2019)