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Updated: Aug 12, 2026

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基于时间解决的LIBS的多任务专家混合CNN,用于对奶粉造的定性和定量合作分析

Qirui Shao1, Yi Li1, Huiping Chai1

  • 1School of Computer and Electronic Information, Nanjing Normal University, Nanjing, Jiangsu 210023, PR China.

Food research international (Ottawa, Ont.)
|January 9, 2026
PubMed
概括

一个新的多任务混合专家卷积神经网络 (MTMoE-CNN) 能够有效地使用时间解析激光诱导分解光谱 (LIBS) 检测奶粉造. 这种先进的AI模型在定性和定量分析方面实现了高精度,提高了食品安全.

关键词:
解释性分析可以解释.牛奶粉伪造的伪造方法专家的混合-专家的混合多任务学习是多任务学习.时间解决的LIBS.

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相关概念视频

Mass Spectrometry: Complex Analysis01:21

Mass Spectrometry: Complex Analysis

Mass spectrometry is an important technique for the identification of pure compounds. However, it has some limitations for the analysis of complex mixtures, often due to excessive fragmentation making the spectrum too complicated to decipher. Mass spectrometry can be combined with suitable separation methods in sequence, forming hyphenated methods, which are useful in the analysis of complex mixtures.
GC–MS is a powerful hyphenated method commonly used in forensics and environmental...