A class of type-2 fuzzy neural networks for nonlinear dynamical system identification

Author： Tavoosi Jafar   Badamchizadeh Mohammad  

Publisher： Springer Publishing Company

ISSN： 0941-0643

Source： Neural Computing & Applications, Vol.23, Iss.3-4, 2013-09, pp. : 707-717

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

Related content

State-Space Recurrent Fuzzy Neural Networks for Nonlinear System Identification

By Yu Wen  

Neural Processing Letters, Vol. 22, Iss. 3, 2005-12 ,pp. : 391-404

Springer Publishing Company

Access to resources Recommend Favorite

A New Method for Adaptive Control of Non-Linear Plants Using Type-2 Fuzzy Logic and Neural Networks

By Melin P.   Castillo O.  

International Journal of General Systems, Vol. 33, Iss. 2-3, 2004-04 ,pp. : 289-304

Taylor & Francis Ltd

Access to resources Recommend Favorite

Hopfield Neural Networks for Parametric Identification of Dynamical Systems

By Atencia Miguel   Joya Gonzalo   Sandoval Francisco  

Neural Processing Letters, Vol. 21, Iss. 2, 2005-04 ,pp. : 143-152

Springer Publishing Company

Access to resources Recommend Favorite

Nonlinear Black Box Modelling – Fuzzy Networks versus Neural Networks

By Bernd T.   Kleutges M.   Kroll A.  

Neural Computing & Applications, Vol. 8, Iss. 2, 1999-05 ,pp. : 151-162

Springer Publishing Company

Access to resources Recommend Favorite

Application of a system for the automatic generation of fuzzy neural networks

By Liao J.   Er M.J.   Lin J.  

Engineering Applications of Artificial Intelligence, Vol. 13, Iss. 3, 2000-06 ,pp. : 293-302

Elsevier

Access to resources Recommend Favorite