The least-square support vector regression model for the dyes and heavy metal ions removal prediction

IF 1.9 4区工程技术 Q3 ENGINEERING, CHEMICAL

Chemical Engineering Communications Pub Date : 2024-02-29 DOI:10.1080/00986445.2024.2321447

Wan Sieng Yeo, Shaula Japarin

引用次数: 0

Abstract

Wastewater treatment plants are typically complex because they involve physical, chemical, and biological processes. Meanwhile, the efficiency of the removal of pollutants such as auramine (AO), me...

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染料和重金属离子去除预测的最小平方支持向量回归模型

污水处理厂通常都很复杂，因为它们涉及物理、化学和生物过程。与此同时，去除污染物（如金刚烷胺 (AO)、氨氮 (AO)、氨水 (AO)）的效率也很高。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Chemical Engineering Communications 工程技术-工程：化工

CiteScore

5.50

自引率

4.00%

发文量

审稿时长

6 months

期刊介绍： Chemical Engineering Communications provides a forum for the publication of manuscripts reporting on results of both basic and applied research in all areas of chemical engineering. The journal''s audience includes researchers and practitioners in academia, industry, and government. Chemical Engineering Communications publishes full-length research articles dealing with completed research projects on subjects such as experimentation (both techniques and data) and new theoretical models. Critical review papers reporting on the current state of the art in topical areas of chemical engineering are also welcome; submission of these is strongly encouraged.