Modeling of Mean-Field Ising-Hysteresis Behavior: A Support Vector Machine Classification-Reference-Cited by-同舟云学术

Modeling of Mean-Field Ising-Hysteresis Behavior: A Support Vector Machine Classification

Published:2014-05-23 Issue:1 Volume:155 Page:66-70
ISSN:1058-4587
Container-title:Integrated Ferroelectrics
language:en
Short-container-title:Integrated Ferroelectrics

Author:

Reungyos Jutarop¹,Premanode Bhusana²,Kongtawelert Prachya³,Laosiritaworn Yongyut¹

Affiliation:

1. Department of Physics and Materials Science, Faculty of Science, Chiang Mai University, Chiang Mai 50200, Thailand

2. Center for Bio-Inspired Technology, Imperial College London, UK

3. Thailand Excellence Center for Tissue Engineering and Stem Cells, Department of Biochemistry, Faculty of Medicine, Chiang Mai University, Chiang Mai 50200, Thailand

Publisher

Informa UK Limited

Subject

Materials Chemistry,Electrical and Electronic Engineering,Condensed Matter Physics,Ceramics and Composites,Control and Systems Engineering,Electronic, Optical and Magnetic Materials

Link

https://www.tandfonline.com/doi/pdf/10.1080/10584587.2014.905157

Reference7 articles.

1. Integrating machine learning with knowledge acquisition through direct interaction with domain experts

2. Overview of Support Vector Machine in Modeling Machining Performances

3. Least squares twin support vector machines for pattern classification

4. Frequency dependence of the Ising–hysteresis phase–diagram: Mean field analysis

5. An algorithm for training a large scale support vector machine for regression based on linear programming and decomposition methods

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1. Dynamic Properties of Kinetic Spin-3/2 Ising Ferromagnetic Model in the Presence of the Crystal and External Oscillating Magnetic Fields;Journal of Superconductivity and Novel Magnetism;2017-01-17