Implementing PSO-ELM Model to Approximate Trolox Equivalent Antioxidant Capacity as One of the Most...
Implementing PSO-ELM Model to Approximate Trolox Equivalent Antioxidant Capacity as One of the Most Important Biological Properties of Food
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New York: Hindawi
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Language
English
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New York: Hindawi
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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 analyses were performed to evaluate the proposed...
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Implementing PSO-ELM Model to Approximate Trolox Equivalent Antioxidant Capacity as One of the Most Important Biological Properties of Food
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TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_8355959
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_8355959
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ISSN
2314-6133
E-ISSN
2314-6141
DOI
10.1155/2021/3805748
