Using SVM-RSM and ELM-RSM Approaches for Optimizing the Production Process of Methyl and Ethyl Esters

Using SVM-RSM and ELM-RSM Approaches for Optimizing the Production Process of Methyl and Ethyl Esters

The production of a desired product needs an effective use of the experimental model. The present study proposes an extreme learning machine (ELM) and a support vector machine (SVM) integrated with the response surface methodology (RSM) to solve the complexity in optimization and prediction of the e...

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Bibliographic Details
Main Authors: Sina Faizollahzadeh Ardabili, Bahman Najafi, Meysam Alizamir, Amir Mosavi, Shahaboddin Shamshirband, Timon Rabczuk
Format: Article
Language:English
Published: MDPI AG 2018-10-01
Series:Energies
Subjects:
biodiesel
optimization
extreme learning machine (ELM)
hybrid methods
response surface methodology (RSM)
support vector machine (SVM)
Online Access:https://www.mdpi.com/1996-1073/11/11/2889

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