Addressing uncertainty in catchment models using machine learning techniques : final report / Report prepared by: Aditya Singh, Dr. Daniel Botelho and Dr. Matthew Hipsey

Creator
Singh, Aditya
Created/Published
Brisbane, Qld. : Department of Environment and Science, 2020
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http://nla.gov.au/nla.obj-2907846719

APA citation

Singh, Aditya & Botelho, Daniel & Hipsey, Matthew & BMT Commercial Australia & Queensland Water Modelling Network, issuing body. (2020). Addressing uncertainty in catchment models using machine learning techniques : final report Retrieved December 1, 2022, from http://nla.gov.au/nla.obj-2907846719

MLA citation

Singh, Aditya, Botelho, Daniel, Hipsey, Matthew, BMT Commercial Australia and Queensland Water Modelling Network, issuing body. Addressing uncertainty in catchment models using machine learning techniques : final report Brisbane, Qld: Department of Environment and Science, 2020. Web. 1 December 2022 <http://nla.gov.au/nla.obj-2907846719>

Harvard/Australian citation

Singh, Aditya & Botelho, Daniel & Hipsey, Matthew & BMT Commercial Australia & Queensland Water Modelling Network, issuing body. 2020, Addressing uncertainty in catchment models using machine learning techniques : final report Department of Environment and Science, Brisbane, Qld viewed 1 December 2022 http://nla.gov.au/nla.obj-2907846719

Wikipedia citation

{{Citation
  | author1=Singh, Aditya.
  | author2=Botelho, Daniel.
  | author3=Hipsey, Matthew.
  | author4=BMT Commercial Australia.
  | author5=Queensland Water Modelling Network, issuing body.
  | title=Addressing uncertainty in catchment models using machine learning techniques : final report
  | year=2020
  | section=online resource (69 pages) : illustrations, maps, charts.
  | location=Brisbane, Qld
  | publisher=Department of Environment and Science
  | url=http://nla.gov.au/nla.obj-2907846719
  | id=nla.obj-2907846719
  | access-date=1 December 2022
  | via=Trove
}}

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