Crude oil price prediction based on a dynamic correcting support vector regression machine

DOI10.1155/2013/528678zbMath1273.91190OpenAlexW1976631583WikidataQ58917026 ScholiaQ58917026MaRDI QIDQ370014

Shu-Rong Li, Yu-Lei Ge

Publication date: 19 September 2013

Published in: Abstract and Applied Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1155/2013/528678

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Microeconomic theory (price theory and economic markets) (91B24)

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Cites Work

• Crude oil price forecasting with TEI\@I methodology
• A COMPARISON OF VAR AND NEURAL NETWORKS WITH GENETIC ALGORITHM IN FORECASTING PRICE OF OIL

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