Abstract
This paper presents a new artificial neural network approach based on dynamic Preisach model and finite element method to compute power loss on amorphous ribbons. The power loss values on these ribbons obtained from the finite element method and dynamic Preisach model have been used as a training data in this artificial neural network model. The model is fast, does not require a large set of measurement data and does not require tremendous computational efforts. The results obtained by using the proposed new model are in good agreement with experimental results previously reported.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
