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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...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2019
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| Materias: | |
| 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 |