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Estimating deflection of cable stay bridges by support vector method

Dean Čizmar
Vlatka Rajčić
Anđelko Vlašić

Puni tekst: hrvatski, pdf (606 KB) str. 635-642 preuzimanja: 544* citiraj
APA 6th Edition
Čizmar, D., Rajčić, V. i Vlašić, A. (2009). Predviđanje progiba ovješenog mosta metodom potpornih vektora. Građevinar, 61 (07.), 635-642. Preuzeto s https://hrcak.srce.hr/40585
MLA 8th Edition
Čizmar, Dean, et al. "Predviđanje progiba ovješenog mosta metodom potpornih vektora." Građevinar, vol. 61, br. 07., 2009, str. 635-642. https://hrcak.srce.hr/40585. Citirano 27.09.2020.
Chicago 17th Edition
Čizmar, Dean, Vlatka Rajčić i Anđelko Vlašić. "Predviđanje progiba ovješenog mosta metodom potpornih vektora." Građevinar 61, br. 07. (2009): 635-642. https://hrcak.srce.hr/40585
Harvard
Čizmar, D., Rajčić, V., i Vlašić, A. (2009). 'Predviđanje progiba ovješenog mosta metodom potpornih vektora', Građevinar, 61(07.), str. 635-642. Preuzeto s: https://hrcak.srce.hr/40585 (Datum pristupa: 27.09.2020.)
Vancouver
Čizmar D, Rajčić V, Vlašić A. Predviđanje progiba ovješenog mosta metodom potpornih vektora. Građevinar [Internet]. 2009 [pristupljeno 27.09.2020.];61(07.):635-642. Dostupno na: https://hrcak.srce.hr/40585
IEEE
D. Čizmar, V. Rajčić i A. Vlašić, "Predviđanje progiba ovješenog mosta metodom potpornih vektora", Građevinar, vol.61, br. 07., str. 635-642, 2009. [Online]. Dostupno na: https://hrcak.srce.hr/40585. [Citirano: 27.09.2020.]

Sažetak
Authors present a new artificial-intelligence method called the support vector method. The method is used in the classification of samples and for regression analysis. The set of data defining rigidity parameters for cable stay bridges has been selected as an example. When used in the scope of this method, the mentioned data enable estimation of cable stay bridge deflection due to traffic load. The results obtained are compared with real deflection values, and also with deflections obtained by neural network. It is claimed that the method is highly accurate for estimating deflection.

Ključne riječi
cable stay bridge; deflection; artificial intelligence; support vector method; traffic load; neural network

Hrčak ID: 40585

URI
https://hrcak.srce.hr/40585

[hrvatski]

Posjeta: 840 *