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Lima, Aranildo R., Cannon, Alex J., Hsieh, William W. (2013) Nonlinear regression in environmental sciences by support vector machines combined with evolutionary strategy. Computers & Geosciences, 50. 136-144 doi:10.1016/j.cageo.2012.06.023

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Reference TypeJournal (article/letter/editorial)
TitleNonlinear regression in environmental sciences by support vector machines combined with evolutionary strategy
JournalComputers & Geosciences
AuthorsLima, Aranildo R.Author
Cannon, Alex J.Author
Hsieh, William W.Author
Year2013 (January)Volume50
PublisherElsevier BV
DOIdoi:10.1016/j.cageo.2012.06.023Search in ResearchGate
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Mindat Ref. ID453095Long-form Identifiermindat:1:5:453095:8
GUID0
Full ReferenceLima, Aranildo R., Cannon, Alex J., Hsieh, William W. (2013) Nonlinear regression in environmental sciences by support vector machines combined with evolutionary strategy. Computers & Geosciences, 50. 136-144 doi:10.1016/j.cageo.2012.06.023
Plain TextLima, Aranildo R., Cannon, Alex J., Hsieh, William W. (2013) Nonlinear regression in environmental sciences by support vector machines combined with evolutionary strategy. Computers & Geosciences, 50. 136-144 doi:10.1016/j.cageo.2012.06.023
In(2013) Computers & Geosciences Vol. 50. Elsevier BV

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Lima, Aranildo R., Cannon, Alex J., Hsieh, William W. (2015) Nonlinear regression in environmental sciences using extreme learning machines: A comparative evaluation. Environmental Modelling & Software, 73. 175-188 doi:10.1016/j.envsoft.2015.08.002
Lima, Aranildo R., Cannon, Alex J., Hsieh, William W. (2016) Forecasting daily streamflow using online sequential extreme learning machines. Journal of Hydrology, 537. 431-443 doi:10.1016/j.jhydrol.2016.03.017
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Cannon, Alex J. (2011) Quantile regression neural networks: Implementation in R and application to precipitation downscaling. Computers & Geosciences, 37 (9) 1277-1284 doi:10.1016/j.cageo.2010.07.005
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