@article{MAKHILLAJIT2007615299,
    title = {Adaptive Neuro-Fuzzy Inference System for Modeling Magnetic Hysteresis},
    journal = {Asian Journal of Information Technology},
    volume = {6},
    number = {1},
    pages = {95-101},
    year = {2007},
    issn = {1682-3915},
    doi = {ajit.2007.95.101},
    url = {https://makhillpublications.co/view-article.php?issn=1682-3915&doi=ajit.2007.95.101},
    author = {M. Mordjaoui,M. Chabane,B. Boudjema and},
    keywords = {ANFIS modeling technique,magnetic hysteresis,jiles-atherton model,ferromagnetic core},
    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.}
    }