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Updated: Jun 5, 2025

Quantification of Heavy Metals and Other Inorganic Contaminants on the Productivity of Microalgae
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基于机器学习的预测和模型解释性分析,用于受微塑料影响的藻类生长

Wenhao Li1, Xu Zhao1, Xudong Xu1

  • 1Key Laboratory of Pollution Processes and Environmental Criteria (Ministry of Education), Tianjin Key Laboratory of Environmental Remediation and Pollution Control, College of Environmental Science and Engineering, Nankai University, Tianjin 300350, China.

The Science of the total environment
|December 15, 2024
PubMed
概括

机器学习模型预测微塑料 (MP) 对微藻类的毒性. 暴露时间,MP度和大小显著影响藻类生长,较小的MP和较长的暴露时间显示出更大的影响.

关键词:
藻类生长的方法功能重要性 功能重要性解释性分析可以解释.机器学习是机器学习.微塑料是一种微塑料.预测模型的预测模型.

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