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Updated: May 7, 2025

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使用基于气体传感器阵列多维数据的机器学习方法对排水和河水质量进行分类的可行性

Magdalena Piłat-Rożek1, Grzegorz Łagód2

  • 1Faculty of Mathematics and Information Technology, Lublin University of Technology, Lublin, Poland.

Annals of agricultural and environmental medicine : AAEM
|January 2, 2025
PubMed
概括

电子鼻子系统有效地对排水水质进行分类,优于传统方法. 这种传感器阵列为初步水质评估和环境监测提供了宝贵的工具.

关键词:
一个ANNMLP的MLP.科霍宁的SOM是什么意思在PCA中,PCA是PCA.电子鼻子 电子鼻子多维数据分析数据分析.污染指标 污染指标 污染指标随机的森林随机的森林表面的水 表面的水评估水质水质的评估.

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Sampling Methods: Sample Types01:18

Sampling Methods: Sample Types

Sampling materials are classified into three main types: solid, liquid, and gas.
Solid samples include a variety of substances, such as sediments from water bodies, soil, metals, and biological tissues. Two standard methods for extracting sediments from water bodies are grab sampling and piston coring. Grab sampling involves using a device to collect a discrete sediment sample from the bottom of a water body with minimal disturbance. Grab samples do not always represent the entire area due to...
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