Neural network-based parameter estimation for non-linear finite element analyses

Author： Okuda Hiroshi Yoshimura Shinobu Yagawa Genki Matsuda Akihiro

ISSN： 0264-4401

Source： Engineering Computations: Int J for Computer-Aided Engineering, Vol.15, Iss.1, 1998-01, pp. : 103-138

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

Comparison of linear and non-linear, space frame-raft-soil interaction analyses, by using finite element method

By Swamy H.M. Rajashekhar

International Journal of Structural Engineering, Vol. 4, Iss. 3, 2013-07 ,pp. : 187-233

Inderscience Publishers

Access to resources Recommend Favorite

Parameter set estimation for non-linear systems

By Hurtig J. Yurkovich S.

International Journal of Control, Vol. 75, Iss. 2, 2002-01 ,pp. : 111-122

Taylor & Francis Ltd

Access to resources Recommend Favorite

Direct neural network-based self-tuning control for a class of nonlinear systems

By Yue Heng Li Han-Xiong Chai Tianyou

International Journal of Systems Science, Vol. 38, Iss. 8, 2007-01 ,pp. : 623-641

Taylor & Francis Ltd

Access to resources Recommend Favorite

Neural network-based variable structure control for nonlinear discrete systems

By Liu G. P. Kadirkamanathan V. Billings S. A.

International Journal of Systems Science, Vol. 30, Iss. 10, 1999-10 ,pp. : 1153-1160

Taylor & Francis Ltd

Access to resources Recommend Favorite

Parameter estimation of continuous-time bilinear systems based on numerical integration and separable non-linear least-squares

International Journal of Control, Vol. 80, Iss. 3, 2007-03 ,pp. : 329-339

Taylor & Francis Ltd

Access to resources Recommend Favorite