Structured parameter optimization method for the radial basis function-based state-dependent autoregressive model

By Peng H.   Ozaki T.   Haggan-Ozaki V.   Toyoda Y.  

International Journal of Systems Science, Vol. 33, Iss. 13, 2002-01 ,pp. : 1087-1098

Taylor & Francis Ltd

Access to resources Recommend Favorite

Identification of nonlinear discrete-time systems using raised-cosine radial basis function networks

By Al-Ajlouni A. F.   Schilling R. J.   Harris S. L.  

International Journal of Systems Science, Vol. 35, Iss. 4, 2004-04 ,pp. : 211-221

Taylor & Francis Ltd

Access to resources Recommend Favorite

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

Nonlinear system identification using two-dimensional wavelet-based state-dependent parameter models

By Truong Nguyen-Vu   Wang Liuping  

International Journal of Systems Science, Vol. 40, Iss. 11, 2009-11 ,pp. : 1161-1180

Taylor & Francis Ltd

Access to resources Recommend Favorite

State-dependent parameter models of non-linear sampled-data systems: a velocity-based linearization approach

By Toivonen Hannu T.  

International Journal of Control, Vol. 76, Iss. 18, 2003-12 ,pp. : 1823-1832

Taylor & Francis Ltd

Access to resources Recommend Favorite