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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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書目詳細資料
主要作者:	Shabri, Ani
格式:	Conference or Workshop Item
出版:	2015
主題:	QA Mathematics
在線閱讀:	http://eprints.utm.my/id/eprint/59271/ http://dx.doi.org/10.1063/1.4915840
標簽:	添加標簽沒有標簽, 成為第一個標記此記錄!

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