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Data on fuzzy logic based-modelling and optimization of recovered lipid from microalgae

This article presents the data of recovered lipid from microalgae using fuzzy logic based-modelling and particle swarm optimization (PSO) algorithm. The details of fuzzy model and optimization process were discussed in our work entitled “Application of Fuzzy Modelling and Particle Swarm Optimization...

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Detalles Bibliográficos
Autores principales: Abdelkareem, Mohammad Ali, Rezk, Hegazy, Sayed, Enas T., Alaswad, A., Nassef, Ahmed M., Olabi, A.G.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6931084/
https://www.ncbi.nlm.nih.gov/pubmed/31890788
http://dx.doi.org/10.1016/j.dib.2019.104931
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author Abdelkareem, Mohammad Ali
Rezk, Hegazy
Sayed, Enas T.
Alaswad, A.
Nassef, Ahmed M.
Olabi, A.G.
author_facet Abdelkareem, Mohammad Ali
Rezk, Hegazy
Sayed, Enas T.
Alaswad, A.
Nassef, Ahmed M.
Olabi, A.G.
author_sort Abdelkareem, Mohammad Ali
collection PubMed
description This article presents the data of recovered lipid from microalgae using fuzzy logic based-modelling and particle swarm optimization (PSO) algorithm. The details of fuzzy model and optimization process were discussed in our work entitled “Application of Fuzzy Modelling and Particle Swarm Optimization to Enhance Lipid Extraction from Microalgae” (Nassef et al., 2019) [1]. The presented data are divided into two main parts. The first part represents the percentage of recovered lipid using fuzzy logic model and ANOVA. However, the second part shows the variation of the cost function (recovered lipid) for the 100 runs of PSO algorithm during optimization process. These data sets can be used as references to analyze the data obtained by any other optimization technique. The data sets are provided in the supplementary materials in Tables 1–2.
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spelling pubmed-69310842019-12-30 Data on fuzzy logic based-modelling and optimization of recovered lipid from microalgae Abdelkareem, Mohammad Ali Rezk, Hegazy Sayed, Enas T. Alaswad, A. Nassef, Ahmed M. Olabi, A.G. Data Brief Energy This article presents the data of recovered lipid from microalgae using fuzzy logic based-modelling and particle swarm optimization (PSO) algorithm. The details of fuzzy model and optimization process were discussed in our work entitled “Application of Fuzzy Modelling and Particle Swarm Optimization to Enhance Lipid Extraction from Microalgae” (Nassef et al., 2019) [1]. The presented data are divided into two main parts. The first part represents the percentage of recovered lipid using fuzzy logic model and ANOVA. However, the second part shows the variation of the cost function (recovered lipid) for the 100 runs of PSO algorithm during optimization process. These data sets can be used as references to analyze the data obtained by any other optimization technique. The data sets are provided in the supplementary materials in Tables 1–2. Elsevier 2019-12-04 /pmc/articles/PMC6931084/ /pubmed/31890788 http://dx.doi.org/10.1016/j.dib.2019.104931 Text en © 2019 The Author(s) http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Energy
Abdelkareem, Mohammad Ali
Rezk, Hegazy
Sayed, Enas T.
Alaswad, A.
Nassef, Ahmed M.
Olabi, A.G.
Data on fuzzy logic based-modelling and optimization of recovered lipid from microalgae
title Data on fuzzy logic based-modelling and optimization of recovered lipid from microalgae
title_full Data on fuzzy logic based-modelling and optimization of recovered lipid from microalgae
title_fullStr Data on fuzzy logic based-modelling and optimization of recovered lipid from microalgae
title_full_unstemmed Data on fuzzy logic based-modelling and optimization of recovered lipid from microalgae
title_short Data on fuzzy logic based-modelling and optimization of recovered lipid from microalgae
title_sort data on fuzzy logic based-modelling and optimization of recovered lipid from microalgae
topic Energy
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6931084/
https://www.ncbi.nlm.nih.gov/pubmed/31890788
http://dx.doi.org/10.1016/j.dib.2019.104931
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