Multiple Modeling Techniques for Assessing Sesame Oil Extraction under Various Operating Conditions and Solvents

This paper compares four different modeling techniques: Response Surface Method (RSM), Linear Radial Basis Functions (LRBF), Quadratic Radial Basis Functions (QRBF), and Artificial Neural Network (ANN). The models were tested by monitoring their performance in predicting the optimum operating condit...

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Detalles Bibliográficos
Autores principales: Osman, Haitham, Shigidi, Ihab, Arabi, Amir
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6518199/
https://www.ncbi.nlm.nih.gov/pubmed/31027260
http://dx.doi.org/10.3390/foods8040142

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6518199/
https://www.ncbi.nlm.nih.gov/pubmed/31027260
http://dx.doi.org/10.3390/foods8040142

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