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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| Main Authors: | , , |
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| Format: | E-Article |
| Language: | English |
| Published: |
Techno Press
2015
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| Subjects: | |
| Online Access: | 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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| Institution: | Universiti Malaysia Sarawak |
| Language: | English |
Internet
http://ir.unimas.my/id/eprint/14852/1/NO%2034%20Data-driven%20SIRMs-connected%20FIS%20for%20prediction%20of%20external%20tendon%20stress%20-%20abstrak.pdfhttp://ir.unimas.my/id/eprint/14852/
http://www.scopus.com/inward/record.url?eid=2-s2.0-84930792804&partnerID=40&md5=4bb1dcd7fe813bee1436929bff64f4f3