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期刊名称

journal of food composition and analysis(1)

关键词

cnn(1)
multi-task deep learning(1)
quantitative analysis(1)
rapeseed oil(1)
shap values(1)

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作者

Xinna Jiang AND Quancheng Liu AND Xingda Cao AND Fan Wang AND Long Li AND Lei Yan AND Shuxiang Fan(0)

机构

key laboratory of national forestry and grassland administration on forestry equipment and automation, beijing 100083, china(1)
school of technology, beijing forestry university, beijing 100083, china(1)
state key laboratory of efficient production of forest(1)
state key laboratory of efficient production of forest resources, china(1)

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年份

2025(1)

科研产出

条件:

资源类型: 外文期刊

作者:Xinna Jiang(精确检索)

作者:Quancheng Liu(精确检索)

作者:Xingda Cao(精确检索)

作者:Fan Wang(精确检索)

作者:Long Li(精确检索)

作者:Lei Yan(精确检索)

作者:Shuxiang Fan(精确检索)

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1Fluorescence spectroscopy combined with a multi-task deep learning model for rapeseed oil quality analysis

作者： Xinna Jiang; Quancheng Liu; Xingda Cao; Fan Wang; Long Li; Lei Yan; Shuxiang Fan; SCIE（2025版）

机构： Key Laboratory of National Forestry and Grassland Administration on Forestry Equipment and Automation, Beijing 100083, China; State Key Laboratory of Efficient Production of Forest Resources, China; School of Technology, Beijing Forestry University, Beijing 100083, China; State Key Laboratory of Efficient Production of Forest;

来源：Journal of Food Composition and Analysis

关键词： CNN Multi-task deep learning Quantitative analysis Rapeseed oil SHAP values