Multi-stage hybridized online sequential extreme learning machine integrated with Markov Chain Monte Carlo copula-Bat algorithm for rainfall forecasting

Ali, Mumtaz, Deo, Ravinesh C., Downs, Nathan J. and Maraseni, Tek 2018, Multi-stage hybridized online sequential extreme learning machine integrated with Markov Chain Monte Carlo copula-Bat algorithm for rainfall forecasting, Atmospheric research, vol. 213, pp. 450-464, doi: 10.1016/j.atmosres.2018.07.005.

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Title Multi-stage hybridized online sequential extreme learning machine integrated with Markov Chain Monte Carlo copula-Bat algorithm for rainfall forecasting
Author(s) Ali, MumtazORCID iD for Ali, Mumtaz orcid.org/0000-0002-6975-5159
Deo, Ravinesh C.
Downs, Nathan J.
Maraseni, Tek
Journal name Atmospheric research
Volume number 213
Start page 450
End page 464
Total pages 15
Publisher Elsevier
Place of publication Amsterdam, The Netherlands
Publication date 2018-11-15
ISSN 0169-8095
Language eng
DOI 10.1016/j.atmosres.2018.07.005
Indigenous content off
Field of Research 0401 Atmospheric Sciences
0299 Other Physical Sciences
HERDC Research category C1.1 Refereed article in a scholarly journal
Copyright notice ©2018, Elsevier B.V.
Persistent URL http://hdl.handle.net/10536/DRO/DU:30121799

Document type: Journal Article
Collection: Faculty of Science, Engineering and Built Environment
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