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Artificial intelligence-based approaches for modeling the effects of spirulina growth mediums on total phenolic compounds.
- Source :
-
Saudi journal of biological sciences [Saudi J Biol Sci] 2022 Feb; Vol. 29 (2), pp. 1111-1117. Date of Electronic Publication: 2021 Sep 22. - Publication Year :
- 2022
-
Abstract
- Spirulina is a microalga and its phenolic compound is affected by growth mediums. In this study, Artificial intelligence (AI) based models, namely the Adaptive-Neuro Fuzzy Inference System (ANFIS) and Multilayer perceptron (MLP) models, and Step-Wise-Linear Regression (SWLR) were used to predict total phenolic compounds (TPC) of the spirulina algae. Spirulina productivity (P), extraction yield (EY), total flavonoids (TF), percent of flavonoid (%F) and percent of phenols (%P) are considered as input variables with the corresponding TPC as an output variable. From the result, TPC has a high positive correlation with the input variables with R = 0.99999. Also, the models showed that the ANFIS and SWLR gives superior result in the testing phase and increased its accuracy by 2% compared to MLP model in the prediction of TPC.<br />Competing Interests: The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.<br /> (© 2021 Published by Elsevier B.V. on behalf of King Saud University.)
Details
- Language :
- English
- ISSN :
- 1319-562X
- Volume :
- 29
- Issue :
- 2
- Database :
- MEDLINE
- Journal :
- Saudi journal of biological sciences
- Publication Type :
- Academic Journal
- Accession number :
- 35197780
- Full Text :
- https://doi.org/10.1016/j.sjbs.2021.09.055