Empirical mode decomposition with least square support vector machine model for river flow forecasting
Accurate information on future river flow is a fundamental key for water resources planning, and management. Traditionally, single models have been introduced to predict the future value of river flow. However, single models may not be suitable to capture the nonlinear and non-stationary nature of t...
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主要作者: | Ismail, Shuhaida |
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格式: | Thesis |
語言: | English |
出版: |
2016
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在線閱讀: | http://eprints.utm.my/id/eprint/77916/1/ShuhaidaIsmailPFS2016.pdf http://eprints.utm.my/id/eprint/77916/ http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:97580 |
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