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Free vibration analysis of elastically supported Timoshenko columns with attached masses using fuzzy neural network

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Title Free vibration analysis of elastically supported Timoshenko columns with attached masses using fuzzy neural network
 
Creator Demirdag, Oktay
Murat, Yetis Sazi
 
Subject Elastic support
Free vibration
Neuro-Fuzzy
Timoshenko model
TMM
 
Description 285-291
This 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.
 
Date 2009-03-30T06:46:53Z
2009-03-30T06:46:53Z
2009
 
Type Article
 
Identifier 0022-4456
http://hdl.handle.net/123456789/3496
 
Language en_US
 
Publisher CSIR
 
Source JSIR Vol.68(04) [April 2009]