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

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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
URI https://vuir.vu.edu.au/id/eprint/39530
DOI https://doi.org/10.1007/s00477-019-01721-y
Official URL https://link.springer.com/article/10.1007%2Fs00477...
Subjects Current > FOR Classification > 0401 Atmospheric Sciences
Current > FOR Classification > 0801 Artificial Intelligence and Image Processing
Current > Division/Research > College of Science and Engineering
Historical > Faculty/School/Research Centre/Department > Institute for Sustainability and Innovation (ISI)
Keywords GP algorithm; demes; climate; statistical downscaling; Japan; atmospheric domain
Citations in Scopus 8 - View on Scopus
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