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.

中文翻译：

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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）对掺假牛奶进行了定性和定量分析。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。