Topology Approach for Crude Oil Price Forecasting of Particle Swarm Optimization and Long Short-Term Memory

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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...

書誌詳細
出版年:	International Journal of Advanced Computer Science and Applications
第一著者:	Yusoff M.; Ehsan D.; Sharif M.Y.; Sallehud-din M.T.M.
フォーマット:	論文
言語:	English
出版事項:	Science and Information Organization 2024
オンライン･アクセス:	https://www.scopus.com/inward/record.uri?eid=2-s2.0-85185004760&doi=10.14569%2fIJACSA.2024.0150150&partnerID=40&md5=181d15d3d1e63664888ed7469c276a3b

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