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使用神经网络预测污泥装载中有毒金属和金属质的数量

Dimitrinka Ivanova¹, Aleksandar Dimitrov², Yordanka Tasheva³

¹Faculty of Natural Sciences, Prof. Assen Zlatarov University, 8010, Burgas, Bulgaria.

Environmental monitoring and assessment

|April 1, 2025

概括

道路灰尘含有有毒元素,如和. 这项研究引入了一种使用神经网络准确预测这些有毒元素的AI方法,为传统实验室分析提供了更快的替代方案.

科学领域:

环境科学环境科学
分析化学分析化学
人工智能的人工智能

背景情况:

道路灰尘或泥含有来自车辆排放的有毒元素.
这些污染物对生态系统和人类健康构成风险.
目前的分析方法耗时且具有破坏性.

研究的目的:

开发一种人工智能驱动的方法来预测道路灰尘中的有毒元素.
为传统元素分析提供一个更有效的替代方案.

主要方法:

利用在实验数据上训练的神经网络.
应用人工智能用于预测有毒元素度.

主要成果:

对 (95.304%), (99.616%) 和 (98.832%) 实现了高预测准确度.
证明了替代标准元素分析技术的潜力.

结论:

人工智能驱动的预测是一种可行且准确的方法,用于分析道路灰尘中的有毒元素.
这种方法可以简化道路污染的监测和监管工作.

关键词:

汽车交通汽车交通环境健康环境健康神经网络的神经网络的神经网络在上装载板.街道/公路上的灰尘.有毒金属和金属化物.

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