Spectroscopy and Spectral Analysis, Volume. 42, Issue 2, 549(2022)
Identification of Boletus Species Based on Discriminant Analysis of Partial Least Squares and Random Forest Algorithm
References(10)
[2] Li J, Liu H, Qi L et al[D]. Sensors, 18, 241(2018).
[3] Budka A, Mleczek M, Rzymski P et al[D]. Journal of Food Composition and Analysis, 66, 168(2018).
[4] Li Y, Wang Y, Zhang J[D]. Analytical and Bioanalytical Chemistry, 410, 91(2018).
[5] Chen C, Gao R, Wang H et al[D]. PLOS ONE, 15, e238149(2020).
[7] Li T, Liu H, Yao S et al[D]. Journal of the Science of Food and Agriculture, 98, 2215(2018).
[9] Li Y, Wang Y, Zhang J[D]. Analytical and Bioanalytical Chemistry, 410, 91(2018).
[10] Li J, Li X, Liu H et al[D]. International Journal of Food Properties, 23, 227(2020).
[11] Duan Z, Li J, Yao S et al[D]. Analytical Letters, 53, 1019(2019).
[12] Elcoroaristizabal S, Ocaña-González J A, Ríos-Reina R et al[D]. Food Chemistry, 230, 108(2017).
[13] et al[D]. Journal of Machine Learning Research, 1(2018).
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Feng-xia CHEN, Tian-wei YANG, Jie-qing LI, Hong-gao LIU, Mao-pan FAN, Yuan-zhong WANG. Identification of Boletus Species Based on Discriminant Analysis of Partial Least Squares and Random Forest Algorithm[J]. Spectroscopy and Spectral Analysis, 2022, 42(2): 549
Paper Information
Category: Research Articles
Received: Jan. 4, 2021
Accepted: Feb. 1, 2021
Published Online: Apr. 2, 2022
The Author Email: Feng-xia CHEN (cfx0909@126.com)
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