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Li, Xue, Sha, Jian, Wang, Zhong-liang (2017) A comparative study of multiple linear regression, artificial neural network and support vector machine for the prediction of dissolved oxygen. Hydrology Research, 48 (5). 1214-1225 doi:10.2166/nh.2016.149

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Reference TypeJournal (article/letter/editorial)
TitleA comparative study of multiple linear regression, artificial neural network and support vector machine for the prediction of dissolved oxygen
JournalHydrology Research
AuthorsLi, XueAuthor
Sha, JianAuthor
Wang, Zhong-liangAuthor
Year2017 (October 1)Volume48
Issue5
PublisherIWA Publishing
DOIdoi:10.2166/nh.2016.149Search in ResearchGate
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Mindat Ref. ID9476064Long-form Identifiermindat:1:5:9476064:6
GUID0
Full ReferenceLi, Xue, Sha, Jian, Wang, Zhong-liang (2017) A comparative study of multiple linear regression, artificial neural network and support vector machine for the prediction of dissolved oxygen. Hydrology Research, 48 (5). 1214-1225 doi:10.2166/nh.2016.149
Plain TextLi, Xue, Sha, Jian, Wang, Zhong-liang (2017) A comparative study of multiple linear regression, artificial neural network and support vector machine for the prediction of dissolved oxygen. Hydrology Research, 48 (5). 1214-1225 doi:10.2166/nh.2016.149
In(2017, October) Hydrology Research Vol. 48 (5) IWA Publishing

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