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River flow time series using least squares vector machines

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Main Authors: Samsudin, Ruhaidah, Saad, P., Shabri, A.
Format: Article
Published: Copernicus GmbH 2011
Subjects:
GB Physical geography
Online Access:http://eprints.utm.my/id/eprint/45178/
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spelling my.utm.451782017-07-30T01:29:07Z http://eprints.utm.my/id/eprint/45178/ River flow time series using least squares vector machines Samsudin, Ruhaidah Saad, P. Shabri, A. GB Physical geography Copernicus GmbH 2011 Article PeerReviewed Samsudin, Ruhaidah and Saad, P. and Shabri, A. (2011) River flow time series using least squares vector machines. Hydrology and Earth System Sciences, 15 . pp. 1835-1852. ISSN 1027-5606
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
topic GB Physical geography
spellingShingle GB Physical geography
Samsudin, Ruhaidah
Saad, P.
Shabri, A.
River flow time series using least squares vector machines
format Article
author Samsudin, Ruhaidah
Saad, P.
Shabri, A.
author_facet Samsudin, Ruhaidah
Saad, P.
Shabri, A.
author_sort Samsudin, Ruhaidah
title River flow time series using least squares vector machines
title_short River flow time series using least squares vector machines
title_full River flow time series using least squares vector machines
title_fullStr River flow time series using least squares vector machines
title_full_unstemmed River flow time series using least squares vector machines
title_sort river flow time series using least squares vector machines
publisher Copernicus GmbH
publishDate 2011
url http://eprints.utm.my/id/eprint/45178/
_version_ 1643651665445781504
score 13.222552

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