Structure selection of neurofuzzy networks based on support vector regression

Author： Chan C. W. Chan W. C. Jayawardena A. W. Harris C. J.

ISSN： 1464-5319

Source： International Journal of Systems Science, Vol.33, Iss.9, 2002-07, pp. : 715-722

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

Modelling of river discharges and rainfall using radial basis function networks based on support vector regression

By Choy K. Y. Chan C. W.

International Journal of Systems Science, Vol. 34, Iss. 1, 2003-01 ,pp. : 763-773

Taylor & Francis Ltd

Access to resources Recommend Favorite

Application of Support Vector Regression in assessment of geometric errors

By Shunmugam M.S. Venkat Vidhya

International Journal of Manufacturing Research, Vol. 3, Iss. 2, 2008-03 ,pp. : 149-171

Inderscience Publishers

Access to resources Recommend Favorite

Estimating Illumination Chromaticity Via Support Vector Regression

By Xiong Weihua Funt Brian

Journal of Imaging Science and Technology, Vol. 50, Iss. 4, 2006-07 ,pp. : 341-348

Society for Imaging Science and Technology

Access to resources Recommend Favorite

Identification of state-dependent parameter models with support vector regression

International Journal of Control, Vol. 80, Iss. 9, 2007-09 ,pp. : 1454-1470

Taylor & Francis Ltd

Access to resources Recommend Favorite

Simulation and system identification of helicopter dynamics using support vector regression

The Aeronautical Journal, Vol. 119, Iss. 1222, 2015-12 ,pp. : 1541-1560

Cambridge University Press

Access to resources Recommend Favorite