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Fishery landing forecasting using EMD-based least square support vector machine models

In this paper, the novel hybrid ensemble learning paradigm integrating ensemble empirical mode decomposition (EMD) and least square support machine (LSSVM) is proposed to improve the accuracy of fishery landing forecasting. This hybrid is formulated specifically to address in modeling fishery landin...

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書誌詳細
第一著者:	Shabri, Ani
フォーマット:	Conference or Workshop Item
出版事項:	2015
主題:	QA Mathematics
オンライン･アクセス:	http://eprints.utm.my/id/eprint/59271/ http://dx.doi.org/10.1063/1.4915840
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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