Artificial neural network modeling of mean-field ising hysteresis
In this study, the artificial neural network (ANN) was used to model ferromagnetic Ising hysteresis obtained from mean-field analysis as a case study. ANNs were trained to predict the effect of external perturbations, which are the temperature, the field amplitude and the field frequency, on the hys...
Saved in:
Main Authors: | Wimalin Laosiritaworn, Yongyut Laosiritaworn |
---|---|
Format: | Journal |
Published: |
2018
|
Subjects: | |
Online Access: | https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=66549120802&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/49089 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Chiang Mai University |
Similar Items
-
Artificial neural network modeling of mean-field ising hysteresis
by: Wimalin Laosiritaworn, et al.
Published: (2018) -
The artificial neural network modeling of dynamic hysteresis phase-diagram: Application on mean-field ising hysteresis
by: Wimalin Laosiritaworn, et al.
Published: (2018) -
The artificial neural network modeling of dynamic hysteresis phase-diagram: Application on mean-field ising hysteresis
by: Wimalin Laosiritaworn, et al.
Published: (2018) -
Artificial neural network modeling of mean-field ising hysteresis
by: Laosiritaworn W., et al.
Published: (2014) -
Artificial neural network modeling of mean-field ising hysteresis
by: Laosiritaworn W., et al.
Published: (2014)