特征选择
牛肝菌
选择(遗传算法)
鉴定(生物学)
傅里叶变换红外光谱
化学
特征(语言学)
生物
计算机科学
工程类
食品科学
植物
化学工程
人工智能
蘑菇
语言学
哲学
作者
Ji Zhang,Honggao Liu,Jieqing Li,Yuanzhong Wang
摘要
Abstract Wild boletus mushrooms, which are macrofungi of the phylum Basidiomycetes, are a nutritious and unique natural food that is widely enjoyed. Since boletus are consumed with problems of indistinguishable toxic and non‐toxic species and heavy metal enrichment, their species identification and traceability are crucial in ensuring quality and safety of consumption. In this study, the attenuated total reflection Fourier transform infrared (ATR‐FTIR) spectroscopy technique combined with three feature variable extraction methods, manual selection method, semi‐manual selection method, and algorithm method, were used to improve the accuracy and computational speed of the model identification, and the models were established for the identification of boletus species with an accuracy of up to 100% as well as for the identification of boletus origin with an accuracy of 86.36%. It was found that the best methods to improve the accuracy of the models were semi‐manual selection, manual selection and algorithmic selection in that order. This study can provide rapid and accurate species identification and origin traceability of wild boletus, and provide theoretical basis for the rational use of feature variable selection methods.
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