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Optimization of Extraction Parameters of Ethanol Extracts of Propolis Samples Using Artificial Neural Network and Moth-Flame Optimization Algorithm Cover

Optimization of Extraction Parameters of Ethanol Extracts of Propolis Samples Using Artificial Neural Network and Moth-Flame Optimization Algorithm

Journal of Apicultural Science
Volume 65 (2021): Issue 2 (December 2021)
By: Ayşenur Gurgen,  Huseyin Serencam,  Yakup Kara,  Zehra Can and  Sibel Yıldız  
Open Access
|Oct 2021

Authors

Ayşenur Gurgen

Karadeniz Technical University, Faculty of Forest, Forest Industry Engineering, Trabzon, Turkey

Huseyin Serencam

Trabzon University, School of Applied Sciences, Gastronomy and Culinary Arts, Trabzon, Turkey

Yakup Kara

Karadeniz Technical University, Faculty of Science, Department of Chemistry, Trabzon, Turkey

Zehra Can

zehracan61@gmail.com

Faculty of Applied Sciences, Bayburt University, Bayburt, Turkey

Sibel Yıldız

Karadeniz Technical University, Faculty of Forest, Forest Industry Engineering, Trabzon, Turkey
DOI: https://doi.org/10.2478/jas-2021-0018 | Journal eISSN: 2299-4831 | Journal ISSN: 1643-4439
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Language: English
Page range: 229 - 241
Submitted on: Jun 16, 2020
|
Accepted on: Jul 8, 2021
|
Published on: Oct 26, 2021
Published by: Research Institute of Horticulture
In partnership with: Paradigm Publishing Services
Publication frequency: 2 issues per year
Keywords:
artificial neural network,
extraction parameters,
modelling,
optimization,
propolis
Related subjects:
Life sciences,
Zoology,
Life sciences, other

© 2021 Ayşenur Gurgen, Huseyin Serencam, Yakup Kara, Zehra Can, Sibel Yıldız, published by Research Institute of Horticulture
This work is licensed under the Creative Commons Attribution 4.0 License.

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