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Data-driven SIRMs-connected FIS for prediction of external tendon stress

This paper presents a novel harmony search (HS)-based data-driven single input rule modules (SIRMs)-connected fuzzy inference system (FIS) for the prediction of stress in externally prestressed tendon. The proposed method attempts to extract causal relationship of a system from an input-output pairs...

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書誌詳細
主要な著者:	See, Hung Lau, Chee, Khoon Ng, Kai, Meng Tay
フォーマット:	E-Article
言語:	English
出版事項:	Techno Press 2015
主題:	T Technology (General)
オンライン･アクセス:	http://ir.unimas.my/id/eprint/14852/1/NO%2034%20Data-driven%20SIRMs-connected%20FIS%20for%20prediction%20of%20external%20tendon%20stress%20-%20abstrak.pdf http://ir.unimas.my/id/eprint/14852/ http://www.scopus.com/inward/record.url?eid=2-s2.0-84930792804&partnerID=40&md5=4bb1dcd7fe813bee1436929bff64f4f3
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