Support vector machine for the prediction of future trend of Athabasca River (Alberta) flow rate / Y. Liu.: M183-2/6864E-PDF
"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.
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| Title | Support vector machine for the prediction of future trend of Athabasca River (Alberta) flow rate / Y. Liu. |
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| Publication type | Monograph - View Master Record |
| Language | [English] |
| Format | Digital text |
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| Description | 1 online resource (29 pages) : colour illustrations, colour map. |
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