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Chiroma et al., 2016 - Google Patents

A review on artificial intelligence methodologies for the forecasting of crude oil price

Chiroma et al., 2016

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Document ID
2802554391425797050
Author
Chiroma H
Abdul-Kareem S
Shukri Mohd Noor A
Abubakar A
Sohrabi Safa N
Shuib L
Fatihu Hamza M
Ya’u Gital A
Herawan T
Publication year
Publication venue
Intelligent Automation & Soft Computing

External Links

Snippet

When crude oil prices began to escalate in the 1970s, conventional methods were the predominant methods used in forecasting oil pricing. These methods can no longer be used to tackle the nonlinear, chaotic, non-stationary, volatile, and complex nature of crude oil …
Continue reading at www.academia.edu (PDF) (other versions)

Classifications

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