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Comparative Study|Journal Article |
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4602 |
issn |
0022-5142 1097-0010 |
issueIdentifier |
13 |
pageRange |
4594-4602 |
publicationName |
Journal of the Science of Food and Agriculture |
startingPage |
4594 |
bibliographicCitation |
Asnaashari M, Farhoosh R, Farahmandfar R. Prediction of oxidation parameters of purified Kilka fish oil including gallic acid and methyl gallate by adaptive neuro-fuzzy inference system (ANFIS) and artificial neural network. J Sci Food Agric. 2016 Oct;96(13):4594–602. doi: 10.1002/jsfa.7677. PMID: 26909668. |
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date |
2016-03-22^^<http://www.w3.org/2001/XMLSchema#date> |
identifier |
https://pubmed.ncbi.nlm.nih.gov/26909668 https://doi.org/10.1002/jsfa.7677 |
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language |
English |
source |
https://www.crossref.org/ https://pubmed.ncbi.nlm.nih.gov/ |
title |
Prediction of oxidation parameters of purified Kilka fish oil including gallic acid and methyl gallate by adaptive neuro‐fuzzy inference system (ANFIS) and artificial neural network |
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