00000nam 2200000zi 4500 9.955217 CaOODSP 20251031142449 m o d f cr mn||||||||| 250912t20172017oncab ob f000 0 eng d CaOODSP eng rda CaOODSP n-cn-ab M183-2/6864E-PDF Liu, Y. (Yexin) author. Support vector machine for the prediction of future trend of Athabasca River (Alberta) flow rate / Y. Liu. [Ottawa] : Natural Resources Canada = Ressources naturelles Canada, 2017. ©2017 1 online resource (29 pages) : colour illustrations, colour map. text txt rdacontent computer c rdamedia online resource cr rdacarrier Geological Survey of Canada open file, 2816-7155 ; 6864 ISSN of series supplied from ISSN Portal. Includes bibliographical references (page 29). "River flow process usually was affected by a wide variety of factors and it is very difficult to make the trend prediction. Various mathematical techniques have been developed to tackle the prediction, but these techniques are less accurate compared with physically-based models. In this paper I presented the recurrent support vector machine methods to study a series of climate variables, such as temperature and precipitation, and then predict the future trend of flow river rate based on these climate variables. The Athabasca River data have been tested and the flow river rates in 100 years have been predicted"--Summary, page 1. Streamflow Alberta Athabasca River Forecasting. Streamflow Alberta Athabasca River Forecasting Mathematical models. Support vector machines. Cours d'eau Débit Alberta Athabasca, Rivière Prévision. Cours d'eau Débit Alberta Athabasca, Rivière Prévision Modèles mathématiques. Machines à vecteurs supports. Geological Survey of Canada, issuing body. Open file (Geological Survey of Canada) 6864. (CaOODSP)9.506878 PDF 694 KB https://publications.gc.ca/collections/collection_2025/rncan-nrcan/m183-2/M183-2-6864-eng.pdf HTML N/A https://doi.org/10.4095/299739