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040 |aCaOODSP|beng|erda|cCaOODSP
043 |an-cn-ab
0861 |aM183-2/6864E-PDF
1001 |aLiu, Y. |q(Yexin)|eauthor.
24510|aSupport vector machine for the prediction of future trend of Athabasca River (Alberta) flow rate / |cY. Liu.
264 1|a[Ottawa] : |bNatural Resources Canada = Ressources naturelles Canada, |c2017.
264 4|c©2017
300 |a1 online resource (29 pages) : |bcolour illustrations, colour map.
336 |atext|btxt|2rdacontent
337 |acomputer|bc|2rdamedia
338 |aonline resource|bcr|2rdacarrier
4901 |aGeological Survey of Canada open file, |x2816-7155 ; |v6864
500 |aISSN of series supplied from ISSN Portal.
504 |aIncludes bibliographical references (page 29).
520 |a"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.
650 0|aStreamflow|zAlberta|zAthabasca River|xForecasting.
650 0|aStreamflow|zAlberta|zAthabasca River|xForecasting|xMathematical models.
650 0|aSupport vector machines.
650 6|aCours d'eau|xDébit|zAlberta|zAthabasca, Rivière|xPrévision.
650 6|aCours d'eau|xDébit|zAlberta|zAthabasca, Rivière|xPrévision|xModèles mathématiques.
650 6|aMachines à vecteurs supports.
7102 |aGeological Survey of Canada, |eissuing body.
830#0|aOpen file (Geological Survey of Canada)|v6864.|w(CaOODSP)9.506878
85640|qPDF|s694 KB|uhttps://publications.gc.ca/collections/collection_2025/rncan-nrcan/m183-2/M183-2-6864-eng.pdf
8564 |qHTML|sN/A|uhttps://doi.org/10.4095/299739