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深度卷积神经网络用于老化微塑料的福里埃变换识别红外光谱分类分类

Ganning Zeng1, Yuan Ma2, Mingming Du2

  • 1College of Environment, Zhejiang University of Technology, Hangzhou 310014, China; Key Laboratory of Ocean Space Resource Management Technology, MNR, Hangzhou 310012, China.

The Science of the total environment
|December 30, 2023
PubMed
概括

一个新的深度卷积神经网络 (CNN) 模型使用红外光谱准确识别老化微塑料 (MP). 这种先进的技术克服了MP分类中的挑战,实现了100%的准确性.

关键词:
衰老的衰老 衰老的衰老分类 分类 分类 分类.这些都是FTIR频谱.标识 识别 识别 识别机器学习是机器学习.微塑料是一种微塑料.

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相关概念视频

IR Frequency Region: Fingerprint Region01:03

IR Frequency Region: Fingerprint Region

IR spectra are divided into two main regions: the diagnostic region and the fingerprint region. The diagnostic region of the spectrum lies above 1500 cm−1. The absorptions resulting from single-bond vibrations of the N–H, C–H, and O–H stretch at higher wavenumbers and appear on the left side of the spectrum. The stretching absorptions of the C≡C and C≡N occur between 2100–2300 cm−1. In contrast, those arising from stretching absorptions of the...
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