Please use this identifier to cite or link to this item: http://nopr.niscpr.res.in/handle/123456789/31060
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dc.contributor.authorNaghashzargar, Elham-
dc.contributor.authorSemnani, Dariush-
dc.contributor.authorKarbasi, Saeed-
dc.date.accessioned2015-03-23T06:04:42Z-
dc.date.available2015-03-23T06:04:42Z-
dc.date.issued2015-03-
dc.identifier.issn0975-1025 (Online); 0971-0426 (Print)-
dc.identifier.urihttp://hdl.handle.net/123456789/31060-
dc.description81-86en_US
dc.description.abstractA genetic algorithm model has been developed to determine the optimal parameters of mechanical aspects of a silk wire-rope scaffold with the highest predictive accuracy and generalized ability simultaneously. The study pioneered on employing a genetic algorithm (GA) to optimize the parameters of scaffold in tendon and ligament tissue engineering. Experimental results show that the GA model performs the best predictive accuracy to imply mechanical behavior with native values successfully.en_US
dc.language.isoen_USen_US
dc.publisherNISCAIR-CSIR, Indiaen_US
dc.rights CC Attribution-Noncommercial-No Derivative Works 2.5 Indiaen_US
dc.sourceIJFTR Vol.40(1) [March 2015]en_US
dc.subjectArtificial neural networken_US
dc.subjectGenetic algorithmen_US
dc.subjectMechanical propertiesen_US
dc.subjectScaffoldsen_US
dc.subjectSilken_US
dc.subjectTissue engineeringen_US
dc.titleOptimization of silk yarn hierarchical structure by genetic algorithm to design scaffoldsen_US
dc.typeArticleen_US
Appears in Collections:IJFTR Vol.40(1) [March 2015]

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