A new evolving compact optimised Takagi–Sugeno fuzzy model and its application to nonlinear system identification
International Journal of Systems Science, 2012 - Taylor & Francis
A new encoding scheme is presented for a fuzzy-based nonlinear system identification
methodology, using the subtractive clustering and non-dominated sorting genetic algorithm …
methodology, using the subtractive clustering and non-dominated sorting genetic algorithm …
A new evolving compact optimised Takagi-Sugeno fuzzy model and its application to nonlinear system identification
M Askari, AHD Markazi - International Journal of Systems …, 2012 - opus.lib.uts.edu.au
A new encoding scheme is presented for a fuzzy-based nonlinear system identification
methodology, using the subtractive clustering and non-dominated sorting genetic algorithm …
methodology, using the subtractive clustering and non-dominated sorting genetic algorithm …
A new evolving compact optimised Takagi–Sugeno fuzzy model and its application to nonlinear system identification
M Askari, AHD Markazi - International Journal of Systems …, 2012 - econpapers.repec.org
A new encoding scheme is presented for a fuzzy-based nonlinear system identification
methodology, using the subtractive clustering and non-dominated sorting genetic algorithm …
methodology, using the subtractive clustering and non-dominated sorting genetic algorithm …
A new evolving compact optimised Takagi–Sugeno fuzzy model and its application to nonlinear system identification
M Askari, AHD Markazi - International Journal of Systems Science, 2012 - ideas.repec.org
A new encoding scheme is presented for a fuzzy-based nonlinear system identification
methodology, using the subtractive clustering and non-dominated sorting genetic algorithm …
methodology, using the subtractive clustering and non-dominated sorting genetic algorithm …
A new evolving compact optimised Takagi–Sugeno fuzzy model and its application to nonlinear system identification
M Askari, AHD Markazi - International Journal of Systems …, 2012 - ingentaconnect.com
A new encoding scheme is presented for a fuzzy-based nonlinear system identification
methodology, using the subtractive clustering and non-dominated sorting genetic algorithm …
methodology, using the subtractive clustering and non-dominated sorting genetic algorithm …
A new evolving compact optimised Takagi-Sugeno fuzzy model and its application to nonlinear system identification
M Askari, AHD Markazi - International Journal of Systems …, 2012 - ui.adsabs.harvard.edu
A new encoding scheme is presented for a fuzzy-based nonlinear system identification
methodology, using the subtractive clustering and non-dominated sorting genetic algorithm …
methodology, using the subtractive clustering and non-dominated sorting genetic algorithm …
A new evolving compact optimised Takagi–Sugeno fuzzy model and its application to nonlinear system identification
M Askari, AH Markazi - International …, 2012 - researchdirect.westernsydney.edu …
A new encoding scheme is presented for a fuzzy-based nonlinear system identification
methodology, using the subtractive clustering and non-dominated sorting genetic algorithm …
methodology, using the subtractive clustering and non-dominated sorting genetic algorithm …