Analysis of adulterated milk based on a long short-term memory network

IF 1.1 4区 化学 Q3 SPECTROSCOPY
Xin Li, Jiangping Liu
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引用次数: 1

Abstract

Abstract Taking adulterated milk as the research object, the principal component analysis method combined with long short-term memory network was used to study, aiming to find a simple and efficient rapid detection method for adulterated milk. In this paper, qualitative and quantitative analysis of adulterated milk was carried out based on near-infrared hyperspectral data (400–1000 nm). The experimental results verified the feasibility of using near-infrared hyperspectral technology to identify adulterated milk.
基于长短期记忆网络的掺假牛奶分析
摘要以掺假牛奶为研究对象,采用主成分分析法结合长短期记忆网络进行研究,旨在寻找一种简单高效的掺假牛奶快速检测方法。本文基于近红外高光谱数据(400-1000 nm)对掺假牛奶进行定性和定量分析。实验结果验证了利用近红外高光谱技术鉴别掺假牛奶的可行性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Spectroscopy Letters
Spectroscopy Letters 物理-光谱学
CiteScore
2.90
自引率
5.90%
发文量
50
审稿时长
1.3 months
期刊介绍: Spectroscopy Letters provides vital coverage of all types of spectroscopy across all the disciplines where they are used—including novel work in fundamental spectroscopy, applications, diagnostics and instrumentation. The audience is intended to be all practicing spectroscopists across all scientific (and some engineering) disciplines, including: physics, chemistry, biology, instrumentation science, and pharmaceutical science.
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