A hybrid grid-GA-based LSSVR learning paradigm for crude oil price forecasting
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Software
Link
http://link.springer.com/content/pdf/10.1007/s00521-015-1999-4.pdf
Reference82 articles.
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4. Cavalcanti T, Jalles JT (2013) Macroeconomic effects of oil price shocks in Brazil and in the United States. Appl Energy 104:475–486. doi: 10.1016/j.apenergy.2012.10.039
5. Jammazi R, Aloui C (2012) Crude oil price forecasting: experimental evidence from wavelet decomposition and neural network modeling. Energy Econ 34(3):828–841. doi: 10.1016/j.eneco.2011.07.018
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