黄曲霉毒素
卷积神经网络
高光谱成像
人工智能
人工神经网络
模式识别(心理学)
像素
计算机科学
班级(哲学)
特征选择
功能(生物学)
卷积(计算机科学)
特征(语言学)
选择(遗传算法)
生物
生物技术
哲学
进化生物学
语言学
作者
Jiyue Gao,Longgang Zhao,Juan Li,Limiao Deng,Jiangong Ni,Zhongzhi Han
出处
期刊:Food Chemistry
[Elsevier]
日期:2021-10-01
卷期号:360: 129968-129968
被引量:40
标识
DOI:10.1016/j.foodchem.2021.129968
摘要
Aflatoxin is commonly exists in moldy foods, it is classified as a class one carcinogen by the World Health Organization. In this paper, we used one dimensional convolution neural network (1D-CNN) to classify whether a pixel contains aflatoxin. Firstly we found the best combination of 1D-CNN parameters were epoch = 30, learning rate = 0.00005 and ‘relu’ for active function, the highest test accuracy reached 96.35% for peanut, 92.11% for maize and 94.64% for mix data. Then we compared 1D-CNN with feature selection and methods in other papers, result shows that neural network has greatly improved the detection efficiency than feature selection. Finally we visualized the classification result of different training 1D-CNN networks. This research provides the core algorithm for the intelligent sorter with aflatoxin detection function, which is of positive significance for grain processing and the prenatal detoxification of foreign trade enterprises.
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