Stream Flow Forecasting Using Least Square Support Vector Regression
Accurate forecasting of streamflow for different lead-times is useful in the design of almost all hydraulic structures. The Support Vector Machines (SVMs) use a hypothetical space of linear functions in a kernel-induced higher dimensional feature space and are trained with a learning algorithm from...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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Pouyan Press
2018-04-01
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| Series: | Journal of Soft Computing in Civil Engineering |
| Subjects: | |
| Online Access: | http://www.jsoftcivil.com/article_54124_23306f7491e9820d7f6f1d919b331e08.pdf |