Modeling the Maximum Magnetic Entropy Change of Doped Manganite Using a Grid Search-Based Extreme Learning Machine and Hybrid Gravitational Search-Based Support Vector Regression

Modeling the Maximum Magnetic Entropy Change of Doped Manganite Using a Grid Search-Based Extreme Learning Machine and Hybrid Gravitational Search-Based Support Vector Regression

The thermal response of a magnetic solid to an applied magnetic field constitutes magnetocaloric effect. The maximum magnetic entropy change (MMEC) is one of the quantitative parameters characterizing this effect, while the magnetic solids exhibiting magnetocaloric effect have great potential in mag...

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Bibliographic Details
Main Authors: Sami M. Ibn Shamsah, Taoreed O. Owolabi
Format: Article
Language:English
Published: MDPI AG 2020-04-01
Series:Crystals
Subjects:
magnetocaloric effect
support vector regression
extreme learning machine
maximum magnetic entropy change
gravitational search algorithm
Online Access:https://www.mdpi.com/2073-4352/10/4/310

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https://www.mdpi.com/2073-4352/10/4/310

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