Empirical mode decomposition with least square support vector machine model for river flow forecasting

• 第一著者: Ismail, Shuhaida
• フォーマット: 学位論文
• 言語: English
• 出版事項: 2016
• 主題: QA Mathematics
• オンライン･アクセス: 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

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...