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Machine learning for downscaling: the use of parallel multiple populations in genetic programming

Dhanapala Arachchige, Sachindra ORCID: 0000-0002-4022-0636 and Kanae, S (2019) Machine learning for downscaling: the use of parallel multiple populations in genetic programming. Stochastic Environmental Research and Risk Assessment, 33 (8/9). pp. 1497-1533. ISSN 1436-3240

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Item Type: Article
Uncontrolled Keywords: GP algorithm; demes; climate; statistical downscaling; Japan; atmospheric domain
Subjects: FOR Classification > 0401 Atmospheric Sciences
FOR Classification > 0801 Artificial Intelligence and Image Processing
Faculty/School/Research Centre/Department > College of Science and Engineering
Faculty/School/Research Centre/Department > Institute for Sustainability and Innovation (ISI)
SWORD Depositor: Symplectic Elements
Depositing User: Symplectic Elements
Date Deposited: 03 Oct 2019 23:38
Last Modified: 08 Oct 2019 03:07
URI: http://vuir.vu.edu.au/id/eprint/39530
DOI: https://doi.org/10.1007/s00477-019-01721-y
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Citations in Scopus: 0 - View on Scopus

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