Multi-stage committee based extreme learning machine model incorporating the influence of climate parameters and seasonality on drought forecasting

Ali, Mumtaz, Deo, Ravinesh C., Downs, Nathan J. and Maraseni, Tek 2018, Multi-stage committee based extreme learning machine model incorporating the influence of climate parameters and seasonality on drought forecasting, Computers and electronics in agriculture, vol. 152, pp. 149-165, doi: 10.1016/j.compag.2018.07.013.

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Title Multi-stage committee based extreme learning machine model incorporating the influence of climate parameters and seasonality on drought 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 Computers and electronics in agriculture
Volume number 152
Start page 149
End page 165
Total pages 17
Publisher Elsevier
Place of publication Amsterdam, The Netherlands
Publication date 2018-09
ISSN 0168-1699
Language eng
DOI 10.1016/j.compag.2018.07.013
Indigenous content off
Field of Research 09 Engineering
08 Information and Computing Sciences
07 Agricultural and Veterinary 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:30121798

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