Adaptive neuro-fuzzy control of an induction motor

RETRACTED: Application of adaptive neuro-fuzzy technique to determine the most relevant variables for daily soil temperature prediction at different depths

“…ANFIS (Jang, 1993), as a hybrid intelligent system which increases the capability of learning and adapting automatically, has been widely utilized by researchers in a variety of engineering systems for different purposes, such as modeling (Al-Ghandoor and Samhouri, 2009;Singh et al, 2012), prediction (Khajeh et al, 2009;Sivakumar and Balu, 2010) and control (Tian and Collins, 2005;Areed et al, 2010;Kurnaz et al, 2010;Ravi et al, 2011). This neuro-adaptive learning methodology allows the fuzzy modeling process to obtain information regarding the data gathered (Aldair and Wang, 2011;Dastranj et al, 2011).…”

Evaluating the legibility of decorative arabic scripts for Sultan Alauddin mosque using an enhanced soft-computing hybrid algorithm

“…ANFIS (Jang, 1993;Shamshirband et al, 2015), a hybrid intelligent system that increases the capability of learning and adapting automatically has been used by researchers for many different purposes in a variety of engineering systems such as in modeling (Al-Ghandoor & Samhouri, 2009;Petkovi c, Issa, Pavlovi c, Pavlovi c, & Zentner, 2012, 2014Singh, Kainthola, & Singh, 2012), for prediction (Hosoz, Ertunc, & Bulgurcu, 2011;Kariminia & Piri et al, 2015;Sivakumar & Balu, 2010) and for control (Areed, Haikal, & Mohammed, 2010;Kurnaz, Cetin, & Kaynak, 2010;Ravi, Sudha, & Balakrishnan, 2011;Tian & Collins, 2005). This neuro-adaptive learning methodology allows the fuzzy modeling process to obtain information regarding the data gathered (Aldair & Wang, 2011;Dastranj, Ebroahimi, Changizi, & Sameni, 2011).…”

Quadrotor Control Using Advanced Control Techniques

“…Neural network gives connectionist framework and learning capabilities to fuzzy logic and fuzzy logic give neural networks with a structural framework with high-level fuzzy IF-THEN rule of reasoning and thinking. Neural network based on fuzzy logic has learning capability of neural networks to understand the fuzzy logic inference system, have the popularity in the control of nonlinear systems [16,21].…”