Artificial neural networks for predicting creep with an example application to structural masonry

Author： Taha M.M R.   Noureldin A   El-Sheimy N   Shrive N G  

Publisher： NRC Research Press

ISSN： 1208-6029

Source： Canadian Journal of Civil Engineering, Vol.30, Iss.3, 2003-06, pp. : 523-532

Disclaimer: Any content in publications that violate the sovereignty, the constitution or regulations of the PRC is not accepted or approved by CNPIEC.

Previous Menu Next

Abstract

Related content

Inverse problem of aircraft structural parameter identification: application of genetic algorithms compared with artificial neural networks

By Trivailo P. M.   Gilbert T.   Glessich E.   Sgarioto D.  

Inverse Problems in Science and Engineering, Vol. 14, Iss. 4, 2006-06 ,pp. : 337-350

Taylor & Francis Ltd

Access to resources Recommend Favorite

Predicting temperature profiles in producing oil wells using artificial neural networks

By Farshad Fred F   Garber James D   Lorde Juliet N  

Engineering Computations: Int J for Computer-Aided Engineering, Vol. 17, Iss. 6, 2000-06 ,pp. : 735-754

Emerald Group Publishing Ltd

Access to resources Recommend Favorite

Indirect aircraft structural monitoring using artificial neural networks

By  

The Aeronautical Journal, Vol. 112, Iss. 1131, 2008-05 ,pp. : 251-265

Cambridge University Press

Access to resources Recommend Favorite

Method for improving parametric creep rupture life of 2·25Cr–1Mo steel using artificial neural networks

By Evans M.  

Materials Science and Technology, Vol. 15, Iss. 6, 1999-06 ,pp. : 647-658

Maney Publishing

Access to resources Recommend Favorite

Inverse problem of aircraft structural parameter estimation: application of neural networks

By Trivailo P. M.   Dulikravich G. S.   Sgarioto D.   Gilbert T.  

Inverse Problems in Science and Engineering, Vol. 14, Iss. 4, 2006-06 ,pp. : 351-363

Taylor & Francis Ltd

Access to resources Recommend Favorite