Structure selection of neurofuzzy networks based on support vector regression

By Chan C. W.   Chan W. C.   Jayawardena A. W.   Harris C. J.  

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

Taylor & Francis Ltd

Access to resources Recommend Favorite

Using Radial Basis Function Networks to Approach the Depth from Defocus

By Jong Shyh-Ming   Huang Jeng-Sheng  

Journal of Imaging Science and Technology, Vol. 45, Iss. 4, 2001-07 ,pp. : 400-406

Society for Imaging Science and Technology

Access to resources Recommend Favorite

Nonlinear time series modelling with the radial basis function-based state-dependent autoregressive model

By Shi Zhaoyun   Tamura Yoshiyasu   Ozaki Tohru  

International Journal of Systems Science, Vol. 30, Iss. 7, 1999-07 ,pp. : 717-727

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

Experimental design and model construction algorithms for radial basis function networks

By Hong X.   Harris C. J.  

International Journal of Systems Science, Vol. 34, Iss. 1, 2003-01 ,pp. : 733-745

Taylor & Francis Ltd

Access to resources Recommend Favorite