Prediction of Sulfur Removal from Iron Concentrate Using Column Flotation Froth Features: Comparison of k-Means Clustering, Regression, Backpropagation Neural Network, and Convolutional Neural Network

Prediction of Sulfur Removal from Iron Concentrate Using Column Flotation Froth Features: Comparison of k-Means Clustering, Regression, Backpropagation Neural Network, and Convolutional Neural Network

Froth feature extraction plays a significant role in the monitoring and control of the flotation process. Image-based soft sensors have received a great deal of interest in the flotation process due to their low-cost and non-intrusive properties. This study proposes data-driven soft sensor models ba...

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Bibliographic Details
Main Authors: Fardis Nakhaei, Samira Rahimi, Mohammadbagher Fathi
Format: Article
Language:English
Published: MDPI AG 2022-11-01
Series:Minerals
Subjects:
column flotation
sulfur removal
iron ore
prediction
multiple linear regression
neural network
Online Access:https://www.mdpi.com/2075-163X/12/11/1434

Internet

https://www.mdpi.com/2075-163X/12/11/1434

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