M. Mordjaoui  , M. Chabane  , B. Boudjema  , R. Daira  , 
    Adaptive Neuro-Fuzzy Inference System for Modeling Magnetic Hysteresis,
    Asian Journal of Information Technology,
    Volume 6,Issue 1,
    2007,
    Pages 95-101,
    ISSN 1682-3915,
    ajit.2007.95.101,
    (https://makhillpublications.co/view-article.php?doi=ajit.2007.95.101)
    Abstract: The accurate characterization and modeling of magnetic material are critical in simulating the performance analysis of electrical circuits incorporating magnetic components. In this study, a new approach for modeling hysteresis loop of ferromagnetic material based on Adaptive Neuro-fuzzy Inference System  (ANFIS) was presented. The proposed ANFIS model combined the neural network adaptive capabilities and the fuzzy logic qualitative approach can restored the hysteresis curve with a little RMS error. The applicability of the developed method is illustrated in figures. Simulation tests and results will be presented in the following.
    Keywords: ANFIS modeling technique;magnetic hysteresis;jiles-atherton model;ferromagnetic core