Artificial neural network model for extracting knowledge from the electro-Fenton process for acid mine wastewater treatment

IF 16.4 1区化学 Q1 CHEMISTRY, MULTIDISCIPLINARY

Accounts of Chemical Research Pub Date : 2024-08-30 DOI:10.1002/clen.202400029

Anoop Kumar Maurya, Pasupuleti Lakshmi Narayana, Uma Maheshwera Reddy Paturi, Subba Reddy Nagireddy Gari

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Abstract

In this study, artificial neural networks (ANNs) were employed to analyze the complex interactions between electro-Fenton (EF) process variables (plate spacing, current intensity [CI], initial pH, aeration rate) and the Fe(II) and Mn(II) removal efficiency from wastewater. After experimenting with 69 different ANN architectures, the 4-8-8-2 architecture was identified as more efficient, achieving higher accuracy (adj. R² of 0.93 for Fe(II) and 0.96 for Mn(II)) than the published model. The research provides valuable insights into the correlation between EF process parameters and removal efficiency, guiding the optimization of wastewater treatment processes. Sensitivity analysis revealed that CI significantly affects Mn(II) and Fe(II) removal efficiency. A user-friendly graphical interface was created based on the synaptic weights of the best model to enable practical predictions. It is designed to be accessible even to users without programing experience.

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从用于酸性矿山废水处理的电-芬顿工艺中提取知识的人工神经网络模型

本研究采用人工神经网络（ANN）分析了电-芬顿（EF）工艺变量（板间距、电流强度 [CI]、初始 pH 值、曝气速率）与废水中铁（II）和锰（II）去除率之间复杂的相互作用。在尝试了 69 种不同的 ANN 架构后，4-8-8-2 架构被认为更有效，比已发表的模型具有更高的准确性（铁（II）的 R2 值为 0.93，锰（II）的 R2 值为 0.96）。这项研究为了解 EF 工艺参数与去除效率之间的相关性提供了宝贵的见解，为优化废水处理工艺提供了指导。敏感性分析表明，CI 对锰（II）和铁（II）的去除效率有显著影响。根据最佳模型的突触权重创建了一个用户友好型图形界面，以便进行实际预测。即使没有编程经验的用户也可以使用该界面。

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来源期刊

Accounts of Chemical Research 化学-化学综合

CiteScore

31.40

自引率

1.10%

发文量

312

审稿时长

2 months

期刊介绍： Accounts of Chemical Research presents short, concise and critical articles offering easy-to-read overviews of basic research and applications in all areas of chemistry and biochemistry. These short reviews focus on research from the author’s own laboratory and are designed to teach the reader about a research project. In addition, Accounts of Chemical Research publishes commentaries that give an informed opinion on a current research problem. Special Issues online are devoted to a single topic of unusual activity and significance. Accounts of Chemical Research replaces the traditional article abstract with an article "Conspectus." These entries synopsize the research affording the reader a closer look at the content and significance of an article. Through this provision of a more detailed description of the article contents, the Conspectus enhances the article's discoverability by search engines and the exposure for the research.