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Empirical mode decomposition-least squares support vector machine based for water demand forecasting

Accurate forecast of water demand is one of the main problems in developing management strategy for the optimal control of water supply system. In this paper, a hybrid model which combines empirical mode decomposition (EMD) and least square support vector machine (LSSVM) model is proposed to forecas...

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書誌詳細
主要な著者:	Shabri, Ani, Samsudin, Ruhaidah
フォーマット:	論文
出版事項:	International Center for Scientific Research and Studies (ICSRS) 2015
主題:	Q Science (General)
オンライン･アクセス:	http://eprints.utm.my/id/eprint/54990/
タグ:	タグ追加タグなし, このレコードへの初めてのタグを付けませんか!

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