A Review on Artificial Intelligence Methodologies for the Forecasting of Crude Oil Price-Reference-Cited by-同舟云学术

A Review on Artificial Intelligence Methodologies for the Forecasting of Crude Oil Price

Published:2016-01-11 Issue:3 Volume:22 Page:449-462
ISSN:1079-8587
Container-title:Intelligent Automation & Soft Computing
language:en
Short-container-title:Intelligent Automation & Soft Computing

Author:

Chiroma Haruna,Abdul-kareem Sameem,Shukri Mohd Noor Ahmad,Abubakar Adamu I.,Sohrabi Safa Nader,Shuib Liyana,Fatihu Hamza Mukhtar,Ya’u Gital Abdulsalam,Herawan Tutut

Publisher

Computers, Materials and Continua (Tech Science Press)

Subject

Artificial Intelligence,Computational Theory and Mathematics,Theoretical Computer Science,Software

Reference100 articles.

1. Pattern recognition using multilayer neural-genetic algorithm

2. Univariate modeling and forecasting of monthly energy demand time series using abductive and neural networks

3. Hybrid learning machines

4. Using belief networks to forecast oil prices

5. Piles shaft capacity from CPT and CPTu data by polynomial neural networks and genetic algorithms

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