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Volumn , Issue 47, 2009, Pages 53-58

Support vector machine model for regression applied to the estimation of the creep rupture stress in ferritic steels;Modelo de máquinas de vectores de soporte para regresión aplicado a la estimación de la tensión de ruptura por termofluencia en aceros ferríticos

Author keywords

Artificial neural network; Creep; Ferritic steels; Support vector machine

Indexed keywords


EID: 65449183159     PISSN: 01206230     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article
Times cited : (4)

References (9)
  • 3
    • 65449117066 scopus 로고    scopus 로고
    • F. Masuyama, H. K. Bhadeshia. Creep strength of high CR Ferritic Steels designed using neural networks and phase stability calculations. Fifth International Conference on Advances in Materials Technology for Fossil Power Plants October 3-5 (2007). 4B-01. EPRI. Palo Alto. California. 2007.
    • F. Masuyama, H. K. Bhadeshia. "Creep strength of high CR Ferritic Steels designed using neural networks and phase stability calculations". Fifth International Conference on Advances in Materials Technology for Fossil Power Plants October 3-5 (2007). 4B-01. EPRI. Palo Alto. California. 2007.
  • 4
    • 65449159588 scopus 로고    scopus 로고
    • http://www.msm.ac.uk./map/map.html Consultada el 20 de enero de 2008.
    • http://www.msm.ac.uk./map/map.html Consultada el 20 de enero de 2008.


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.