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基于机器学习的方法对微塑料退化污染物迁移的预测性适用性进行评估

Małgorzata Kida1, Kamil Pochwat2, Sabina Ziembowicz1

  • 1Department of Chemistry and Environmental Engineering, Faculty of Civil and Environmental Engineering and Architecture, Rzeszow University of Technology, Ave Powstańców Warszawy 6, 35-959 Rzeszów, Poland.

Journal of hazardous materials
|September 18, 2023
PubMed
概括

机器学习模型,包括人工神经网络和支持矢量方法,可以准确地预测微塑料中的污染物出. 这种方法减少了昂贵的实验室测试,有助于环境保护工作.

关键词:
人工神经网络的人工神经网络微塑料是微塑料中的一种.多重回归是一种多重回归.甲酸的含量 甲酸的含量支持向量的方法支持向量的方法.

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