Identification of oil authenticity and adulteration using deep long short-term memory-based neural network with seagull optimization algorithm
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Software
Link
https://link.springer.com/content/pdf/10.1007/s00521-021-06829-3.pdf
Reference56 articles.
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3. Zielińska A, Wójcicki K, Klensporf-Pawlik D, Dias-Ferreira J, Lucarini M, Durazzo A, Lucariello G et al (2020) Chemical and physical properties of meadowfoam seed oil and extra virgin olive oil: focus on vibrational spectroscopy. J Spectroscopy
4. Wu X, Zhao Z, Tian R, Gao S, Niu Y, Liu H (2020) Exploration of total synchronous fluorescence spectroscopy combined with pre-trained convolutional neural network in the identification and quantification of vegetable oil. Food Chem 335:127640
5. Sun Yu, Dou X, Yue X, Li Yu, Zhang L, Li Ji, Li P (2020) Optimization of headspace SPME GC× GC-TOF/MS analysis of volatile organic compounds in edible oils by central composite design for adulteration detection of edible oil. Food Anal Methods 13(6):1328–1336
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