On the optimization of froth flotation by the use of an artificial neural network-Reference-Cited by-同舟云学术

On the optimization of froth flotation by the use of an artificial neural network

Published:2008-09 Issue:3 Volume:18 Page:418-426
ISSN:1006-1266
Container-title:Journal of China University of Mining and Technology
language:en
Short-container-title:Journal of China University of Mining and Technology

Author:

AL-THYABAT S

Publisher

Elsevier BV

Subject

Mechanical Engineering,Engineering (miscellaneous),Energy Engineering and Power Technology,Geotechnical Engineering and Engineering Geology,Fuel Technology

Reference18 articles.

1. Fundamentals of Neural Network;Fausett,1994

2. The introduction of neural network system and its applications in rock engineering;Huang;Engineering Geology,1998

3. On-line ore characterization and sorting;Cutmore;Minerals Engineering,1998

4. Automatic control of a laboratory flotation column;Del;Minerals Engineering,1999

5. Characterization of the flotation froth structure and color by machine vision (ChaCo);Bonifazi;Developments in Mineral Processing,2000

Cited by 55 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Leaching of Rare Earths from End-of-Life NdFeB Magnets with Citric Acid Using Full Factorial Design, Response Surface Methodology, and Artificial Neural Network Analysis;Metals;2024-08-16

2. Prediction of collector flotation performance based on machine learning and quantum chemistry: A case of sulfide minerals;Separation and Purification Technology;2024-08

3. Prediction of multi-stage froth flotation efficiency of complex lead–zinc sulfide ore using an integrated ensemble neural network–random forest model;Minerals Engineering;2024-05

4. Reagent dosage inference based on graph convolutional memory perception network for zinc roughing flotation;Control Engineering Practice;2024-05

5. Sulfide Mineral Bioflotation Optimization and Prediction by Mixed Mesophilic Bacteria as a Green Alternative for Chemical Reagents;Journal of Sustainable Metallurgy;2024-01-08