Please use this identifier to cite or link to this item: http://nopr.niscair.res.in/handle/123456789/3479
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dc.contributor.authorDemirdag, Oktay-
dc.contributor.authorSazi Murat, Yetis-
dc.date.accessioned2009-03-30T05:55:08Z-
dc.date.available2009-03-30T05:55:08Z-
dc.date.issued2009-
dc.identifier.issn0022-4456-
dc.identifier.urihttp://hdl.handle.net/123456789/3479-
dc.description285-291en_US
dc.description.abstractThis study presents elastically supported Timoshenko column with attached masses for free vibration analysis using fuzzy neural network. Neuro fuzzy frequency estimation (NFEE) models were developed to compute vibration frequencies using fuzzy logic toolbox of software Matlab 7.0. Gaussian membership functions and adaptive neuro fuzzy inference system (ANFIS) were used in NFFE model. Hybrid learning rule was applied for quantifying output variables in NFFE model. Frequency values of column with 1, 5 and 10 attached masses were computed. Training sets for NFFE models used transfer matrix method (TMM). During testing of NFFE model, good agreement was observed with results obtained using TMM as reduction in computation effort.en_US
dc.language.isoen_USen_US
dc.publisherCSIRen_US
dc.sourceJSIR Vol.68(04) [April 2009]en_US
dc.subjectElastic supporten_US
dc.subjectFree vibrationen_US
dc.subjectNeuro-Fuzzyen_US
dc.subjectTimoshenko modelen_US
dc.subjectTMMen_US
dc.titleFree vibration analysis of elastically supported Timoshenko columns with attacheden_US
dc.typeArticleen_US
Appears in Collections:JSIR Vol.68(04) [April 2009]

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