Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Herath Mudiyanselage Viraj Vidura Herath"'
Publikováno v:
Journal of Hydroinformatics, Vol 23, Iss 4, Pp 740-763 (2021)
Genetic programming (GP) is a widely used machine learning (ML) algorithm that has been applied in water resources science and engineering since its conception in the early 1990s. However, similar to other ML applications, the GP algorithm is often u
Externí odkaz:
https://doaj.org/article/d711d7302fe54ce1a470f710110acec0
Publikováno v:
Journal of Hydroinformatics, Vol 23, Iss 4, Pp 740-763 (2021)
Genetic programming (GP) is a widely used machine learning (ML) algorithm that has been applied in water resources science and engineering since its conception in the early 1990s. However, similar to other ML applications, the GP algorithm is often u
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::04e50e93ce7239fd71087e39790b84ff
http://jh.iwaponline.com/content/23/4/740
http://jh.iwaponline.com/content/23/4/740
Relative dominance of the runoff controls, such as topography, geology, soil types, land use, and climate, may differ from catchment to catchment due to spatial and temporal heterogeneity of landscape properties and climate variables. Understanding d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7696cdad708bddfb822b9891e5231135
https://doi.org/10.21203/rs.3.rs-815493/v1
https://doi.org/10.21203/rs.3.rs-815493/v1
Publikováno v:
Hydrology and Earth System Sciences, Vol 25, Pp 4373-4401 (2021)
Despite showing great success of applications in many commercial fields, machine learning and data science models generally show limited success in many scientific fields, including hydrology (Karpatne et al., 2017). The approach is often criticized
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::54dd845d996927b96640d8185e1cbd71
https://hess.copernicus.org/preprints/hess-2020-487/
https://hess.copernicus.org/preprints/hess-2020-487/
Publikováno v:
Water Resources Research. 56
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bf1f67c800d30a39b2c0902ef3db65a5
https://doi.org/10.1029/2019wr026933
https://doi.org/10.1029/2019wr026933
Modelling of rainfall-runoff phenomenon continues to be a challenging task at hand of hydrologists as the underlying processes are highly nonlinear, dynamic and interdependent. Numerous modelling strategies like empirical, conceptual, physically base
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1f62c9be85c0ef7880e4f83b6420dff8
https://doi.org/10.5194/egusphere-egu2020-12303
https://doi.org/10.5194/egusphere-egu2020-12303