Accurate assessment of the effects of parameters on the flotation process is important for understanding the complex flotation mechanisms. To address the problem of unsatisfactory prediction of large sample flotation data (641 sets) by traditional machine learning algorithms, four advanced algorithms (GBDT, CatBoost, LightBGM and XGBoost) are used in this paper to investigate the effects of feed properties and flotation conditions on the effectiveness of coal flotation. It was found that the data at flotation recoveries below &lt;40% were difficult to predict effectively by machine learning algorithms due to abnormal flotation results caused by lower flotation reagent dosages. An importance analysis of flotation parameters and prediction of flotation results were carried out based on the reordered data. The results showed that the fraction and ash content of -74 um in the feed are the main factors affecting concentrate yield and ash content. The XGBoost model also achieved the best prediction results compared to other models, and the prediction coefficient of determination R2 reached 0.877 and 0.971 for concentrate yield and ash content, respectively. The results are expected to provide a reference for the intelligent control of coal beneficiation plant by machine learning technology in the future.

Yuhua Ji

Liang Wang

Guangdong Ren

Tongjin Xu

Xingwang Li

Xiaoxia Chen

Xiangning Bu

Jie Sha

Physicochemical Problems of Mineral Processing

矿物加工的物理化学问题是一本国际性的开放获取期刊，涵盖了矿物加工和提取冶金各个方面的理论方法及其实际应用。在矿物加工物理化学问题杂志上发表的标准是新颖性、质量和当前兴趣。仅对成熟方法进行常规扩展的手稿不适合该期刊。感兴趣的主题分析技术和应用矿物学计算机应用粉碎、分类和分选泡沫浮选固液分离重力浓缩磁电分离水力和生物湿法冶金萃取冶金回收和矿物废料矿物加工和环境方面其他选矿相关科目。

"Physicochemical Problems of Mineral Processing" is an international open-access journal that focuses on all aspects of mineral processing and extractive metallurgy, including theoretical methods and their practical applications. The journal has strict standards for publication, emphasizing novelty, quality, and current research interests. Manuscripts that merely extend established methods are not suitable for submission. Topics of interest include: analytical techniques, applied mineralogy, computer applications, comminution, classification and separation, froth flotation, solid-liquid separation, gravity concentration, magnetic and electrostatic separation, hydrometallurgy and biohydrometallurgy, extractive metallurgy, mineral recovery and waste management, mineral processing and environmental aspects, and other related subjects.

《Physicochemical Problems of Mineral Processing》是一本国际性的开放获取期刊，专注于矿物加工和提取冶金的各个方面，包括理论方法及其实际应用。该期刊对发表的稿件有严格的要求，强调新颖性、质量和当前的研究兴趣。仅对成熟方法进行常规扩展的手稿不适合投稿。感兴趣的主题包括：分析技术、应用矿物学、计算机应用、粉碎、分类与分选、泡沫浮选、固液分离、重力浓缩、磁电分离、水力和生物湿法冶金、萃取冶金、矿物回收及废料处理、矿物加工与环境等相关领域。

Category	Quartile
工程技术	4
工程技术, 物理化学	4
工程技术, 矿业与矿物加工	4

Evaluation of parametric effects of coal flotation based on boosting modeling method

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Journal Info

Category	Quartile
MINING & MINERAL PROCESSING	3