Implementing PSO-ELM Model to Approximate Trolox Equivalent Antioxidant Capacity as One of the Most Important Biological Properties of Food

In this paper, the Trolox equivalent antioxidant capacity (TEAC) is estimated through a robust machine-learning algorithm known as the Particle Swarm Optimization-based Extreme Learning Machine (PSO-ELM) model. For this purpose, a large dataset from previously published reports was gathered. Various...

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Detalles Bibliográficos
Autores principales: Elveny, Marischa, Akhmadeev, Ravil, Dinari, Mina, Abdelbasset, Walid Kamal, Bokov, Dmitry O., Jafari, Mohammad Mahdi Molla
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2021
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8355959/
https://www.ncbi.nlm.nih.gov/pubmed/34395613
http://dx.doi.org/10.1155/2021/3805748

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8355959/
https://www.ncbi.nlm.nih.gov/pubmed/34395613
http://dx.doi.org/10.1155/2021/3805748

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