Prophesying the Short-Term Dynamics of the Crude Oil Future Price by Adopting the Survival of the Fittest Principle of Improved Grey Optimization and Extreme Learning Machine

Prophesying the Short-Term Dynamics of the Crude Oil Future Price by Adopting the Survival of the Fittest Principle of Improved Grey Optimization and Extreme Learning Machine

Crude oil market analysis has become one of the emerging financial markets and the volatility effect of the market is paramount and has been considered as an issue of utmost importance. This study examines the dynamics of this volatile market of crude oil by employing a hybrid approach based on an e...

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Bibliographic Details
Main Authors: Asit Kumar Das, Debahuti Mishra, Kaberi Das, Pradeep Kumar Mallick, Sachin Kumar, Mikhail Zymbler, Hesham El-Sayed
Format: Article
Language:English
Published: MDPI AG 2022-03-01
Series:Mathematics
Subjects:
crude oil forecasting
survival of the fittest (SOF)
extreme learning machine (ELM)
differential evolution (DE)
particle swarm optimization (PSO)
grey wolf optimizer (GWO)
Online Access:https://www.mdpi.com/2227-7390/10/7/1121

Internet

https://www.mdpi.com/2227-7390/10/7/1121

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