Interpretable machine learning-based analysis of coal fly ash flotation by conditioning process intensification-Reference-Cited by-同舟云学术

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Interpretable machine learning-based analysis of coal fly ash flotation by conditioning process intensification

Published:2024-09-12 Issue: Volume: Page:1-20
ISSN:1939-2699
Container-title:International Journal of Coal Preparation and Utilization
language:en
Short-container-title:International Journal of Coal Preparation and Utilization

Author:

Yang Lu¹²,Zhang Ling¹³,Hou Haochun¹,Zhao Yan¹,Zheng Xinran¹

Affiliation:

1. School of Resources and Environmental Engineering, Shandong University of Technology, Zibo, China

2. Sichuan Sizhong Basalt Fiber Technology Research and Development Co., Ltd, Dazhou, China

3. Xinjiang Engineering Technology Research Center of Biological Solid Waste Recycling, Kashi Unversity, Kashgar, China

Funder

Shandong Provincial Natural Science Foundation

National Natural Science Foundation of China

Dazhou Scientific Research Project

Open Project Fund of Xinjiang Biomass Solid Waste Resources Technology and Engineering Center

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/19392699.2024.2400582

Reference33 articles.

1. Preserving complex object-centric graph structures to improve machine learning tasks in process mining

2. Effect of some parameters on the performance of anchor impellers for stirring shear-thinning fluids in a cylindrical vessel

3. Strength behavior of green concrete by using fly ash and silica fume

4. Optimizing hydrogen evolution prediction: A unified approach using random forests, lightGBM, and Bagging Regressor ensemble model

5. Optimum solids concentration for solids suspension and solid–liquid mass transfer in agitated vessels

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