A servo system control with time-varying and nonlinear load conditions using type-2 TSK fuzzy neural system
A type-2 Takagi-Sugeno-Kang fuzzy neural system is proposed and its parameter update
rules are derived using fuzzy clustering and gradient learning algorithms. The proposed type …
rules are derived using fuzzy clustering and gradient learning algorithms. The proposed type …
[PDF][PDF] A servo system control with time-varying and nonlinear load conditions using type-2 TSK fuzzy neural system
E Kayacan, Y Oniz, AC Aras, O Kaynak… - Applied Soft …, 2011 - academia.edu
abstract A type-2 Takagi-Sugeno-Kang fuzzy neural system is proposed and its parameter
update rules are derived using fuzzy clustering and gradient learning algorithms. The …
update rules are derived using fuzzy clustering and gradient learning algorithms. The …
A servo system control with time-varying and nonlinear load conditions using type-2 TSK fuzzy neural system
E Kayacan, Y Oniz, AC Aras, O Kaynak… - Applied Soft …, 2011 - dl.acm.org
A type-2 Takagi-Sugeno-Kang fuzzy neural system is proposed and its parameter update
rules are derived using fuzzy clustering and gradient learning algorithms. The proposed type …
rules are derived using fuzzy clustering and gradient learning algorithms. The proposed type …
[引用][C] A Servo System Control with Time-varying and Nonlinear Load Conditions Using Type-2 TSK Fuzzy Neural System
E Kayacan, Y Oniz, AC Aras, O Kaynak… - Applied Soft …, 2011 - pure.au.dk
A Servo System Control with Time-varying and Nonlinear Load Conditions Using Type-2 TSK
Fuzzy Neural System — Aarhus University Skip to main navigation Skip to search Skip to main …
Fuzzy Neural System — Aarhus University Skip to main navigation Skip to search Skip to main …
A servo system control with time-varying and nonlinear load conditions using type-2 TSK fuzzy neural system
E Kayacan, Y Oniz, AC Aras, O Kaynak… - Applied Soft Computing, 2011 - infona.pl
A type-2 Takagi-Sugeno-Kang fuzzy neural system is proposed and its parameter update
rules are derived using fuzzy clustering and gradient learning algorithms. The proposed type …
rules are derived using fuzzy clustering and gradient learning algorithms. The proposed type …
A servo system control with time-varying and nonlinear load conditions using type-2 TSK fuzzy neural system
E Kayacan, Y Oniz, AC Aras, O Kaynak, R Abiyev - 2011 - aperta.ulakbim.gov.tr
A type-2 Takagi-Sugeno-Kang fuzzy neural system is proposed and its parameter update
rules are derived using fuzzy clustering and gradient learning algorithms. The proposed type …
rules are derived using fuzzy clustering and gradient learning algorithms. The proposed type …
[PDF][PDF] A servo system control with time-varying and nonlinear load conditions using type-2 TSK fuzzy neural system
E Kayacan, Y Oniz, AC Aras, O Kaynak… - Applied Soft …, 2011 - academia.edu
abstract A type-2 Takagi-Sugeno-Kang fuzzy neural system is proposed and its parameter
update rules are derived using fuzzy clustering and gradient learning algorithms. The …
update rules are derived using fuzzy clustering and gradient learning algorithms. The …
A servo system control with time-varying and nonlinear load conditions using type-2 TSK fuzzy neural system
E Kayacan, Y Oniz, AC Aras, O Kaynak, R Abiyev - 2011 - aperta.ulakbim.gov.tr
A type-2 Takagi-Sugeno-Kang fuzzy neural system is proposed and its parameter update
rules are derived using fuzzy clustering and gradient learning algorithms. The proposed type …
rules are derived using fuzzy clustering and gradient learning algorithms. The proposed type …