Prediction of the metallurgical performances of a batch flotation system by image analysis and neural networks
It is now generally accepted that froth appearance is a good indicative of the flotation performance. In this paper, the relationship between the process conditions and the froth features as well as the process performance in the batch flotation of a copper sulfide ore is discussed and modeled. Flot...
| Main Authors: | Jahedsaravani, Ali, Marhaban, Mohammad Hamiruce, Massinaei, Mohammad |
|---|---|
| Format: | Article |
| Published: |
Pergamon Press
2014
|
| Online Access: | http://psasir.upm.edu.my/id/eprint/34995/ |
Similar Items
Application of image processing and adaptive neuro-fuzzy system for estimation of the metallurgical parameters of a flotation process
by: Jahedsaravani, A., et al.
Published: (2016)
by: Jahedsaravani, A., et al.
Published: (2016)
Development of a machine vision system for real-time monitoring and control of batch flotation process
by: Jahedsaravani, Ali, et al.
Published: (2017)
by: Jahedsaravani, Ali, et al.
Published: (2017)
An image segmentation algorithm for measurement of flotation froth bubble size distributions
by: Jahedsaravani, A., et al.
Published: (2017)
by: Jahedsaravani, A., et al.
Published: (2017)
Froth-based modeling and control of a batch flotation process
by: Jahedsaravani, Ali, et al.
Published: (2016)
by: Jahedsaravani, Ali, et al.
Published: (2016)
Development of a new algorithm for segmentation of flotation froth images
by: Jahedsaravani, Ali, et al.
Published: (2014)
by: Jahedsaravani, Ali, et al.
Published: (2014)
Performance prediction of metallurgical coke using image
analysis
by: Goonetilleke-Rezel, Teshan
Published: (2024)
by: Goonetilleke-Rezel, Teshan
Published: (2024)
Multivariate image analysis of a realgar-orpiment batch froth flotation system
by: Aldrich, Chris, et al.
Published: (2014)
by: Aldrich, Chris, et al.
Published: (2014)
Grade estimation in realgar-orpiment batch flotation systems by froth image analysis and kernel methods
by: Aldrich, Chris, et al.
Published: (2014)
by: Aldrich, Chris, et al.
Published: (2014)
Performance of Convolutional Neural Networks for Feature Extraction in Froth Flotation Sensing
by: Horn, Z., et al.
Published: (2017)
by: Horn, Z., et al.
Published: (2017)
Using Convolutional Neural Networks to Develop State-of-the-Art Flotation Froth Image Sensors
by: Fu, Y., et al.
Published: (2018)
by: Fu, Y., et al.
Published: (2018)
An adaptive predictive control based on a quasi-ARX neural network model
by: Abu Jami’in, Mohammad, et al.
Published: (2014)
by: Abu Jami’in, Mohammad, et al.
Published: (2014)
The estimation of platinum flotation grade from froth image features by using artificial neural networks
by: Marais, C., et al.
Published: (2011)
by: Marais, C., et al.
Published: (2011)
Metallurgical Sampling Representivity
by: Dominy, Simon, et al.
Published: (2017)
by: Dominy, Simon, et al.
Published: (2017)
Nonlinear model-predictive control based on quasi-ARX radial-basis function-neural-network
by: Sutrisno, Imam, et al.
Published: (2014)
by: Sutrisno, Imam, et al.
Published: (2014)
Recent Advances in Flotation Froth Image Analysis
by: Aldrich, Chris, et al.
Published: (2022)
by: Aldrich, Chris, et al.
Published: (2022)
Prediction and Influence of Mineral Liberation on Froth Flotation Performance
by: Zhang, Jian
Published: (2012)
by: Zhang, Jian
Published: (2012)
Relationship between solids flux and froth features in batch flotation of sulphide ore
by: Yang, X., et al.
Published: (2005)
by: Yang, X., et al.
Published: (2005)
Multivariate image analysis of realgar–orpiment flotation froths
by: Aldrich, Chris, et al.
Published: (2017)
by: Aldrich, Chris, et al.
Published: (2017)
Recognition of flotation froth conditions with k-shot learning and convolutional neural networks
by: Liu, Xiu, et al.
Published: (2023)
by: Liu, Xiu, et al.
Published: (2023)
Hybrid intelligence model based on image features for the prediction of flotation concentrate grade
by: Wang, Y., et al.
Published: (2014)
by: Wang, Y., et al.
Published: (2014)
Liquidus Temperature Measurements for Metallurgical Slags
by: Grimsey, Eric, et al.
Published: (1996)
by: Grimsey, Eric, et al.
Published: (1996)
Artificial neural network based maximum power point tracking controller for photovoltaic standalone system
by: Khanaki, Razieh, et al.
Published: (2016)
by: Khanaki, Razieh, et al.
Published: (2016)
Monitoring of metallurgical plant performance with Bayesian change point detection algorithms
by: Aldrich, Chris, et al.
Published: (2012)
by: Aldrich, Chris, et al.
Published: (2012)
Engineering optimization approaches of nonferrous metallurgical processes
by: Chen, X., et al.
Published: (2014)
by: Chen, X., et al.
Published: (2014)
Optimization of polymer processing in batch reactor using neural network
by: Abdul Samad, Noor Asma Fazli
Published: (2008)
by: Abdul Samad, Noor Asma Fazli
Published: (2008)
Predicting student performance using artificial neural network analysis
by: van Heerden, B., et al.
Published: (2008)
by: van Heerden, B., et al.
Published: (2008)
Flotation Froth Image Analysis by Use of a Dynamic Feature Extraction Algorithm
by: Fu, Y., et al.
Published: (2016)
by: Fu, Y., et al.
Published: (2016)
Characterisation of weldability and metallurgical stability of dissimilar metal welds
by: Bin Azahari, Ahmad Azli
Published: (2020)
by: Bin Azahari, Ahmad Azli
Published: (2020)
An Intelligent Classification System For Aggregate Based On Image Processing And Neural Network
by: Al-Batah, Mohammad Subhi Mohammad
Published: (2009)
by: Al-Batah, Mohammad Subhi Mohammad
Published: (2009)
Sales Prediction Using Artificial Neural Network
by: Ilham Ariff, Mohammad Fadzli
Published: (2023)
by: Ilham Ariff, Mohammad Fadzli
Published: (2023)
Estimation of platinum flotation grades from froth image data
by: Marais, C., et al.
Published: (2011)
by: Marais, C., et al.
Published: (2011)
The Relationship between Froth Image Features and Platinum Flotation Grade
by: Marais, C., et al.
Published: (2010)
by: Marais, C., et al.
Published: (2010)
Towards Representative Metallurgical Sampling
and Gold Recovery Testwork Programmes
by: Dominy, S., et al.
Published: (2018)
by: Dominy, S., et al.
Published: (2018)
Improving Convolutional Neural Network (CNN) architecture (miniVGGNet) with batch normalization and learning rate decay factor for image classification
by: Ismail, Asmida, et al.
Published: (2019)
by: Ismail, Asmida, et al.
Published: (2019)
A simple approach to determine the best threshold value for automatic image thresholding
by: Ismail, Abdul Halim, et al.
Published: (2009)
by: Ismail, Abdul Halim, et al.
Published: (2009)
Influence of bentonite on grinding, hydrocyclone and flotation performance
by: Xu, JingJing
Published: (2025)
by: Xu, JingJing
Published: (2025)
Simple and computationally efficient movement classification approach for EMG-controlled prosthetic hand: ANFIS vs. artificial neural network
by: Fariman, Hessam Jahani, et al.
Published: (2015)
by: Fariman, Hessam Jahani, et al.
Published: (2015)
Tuberculosis prediction system using artificial neural network / Farisah Mamat @ Mohammad
by: Mamat @ Mohammad, Farisah
Published: (2012)
by: Mamat @ Mohammad, Farisah
Published: (2012)
Personality predictive analysis based on artificial neural network
by: Zuriani, Mustaffa, et al.
Published: (2022)
by: Zuriani, Mustaffa, et al.
Published: (2022)
Scattering performance verification based on UWB imaging and neural network
by: V., Vijayasarveswari, et al.
Published: (2017)
by: V., Vijayasarveswari, et al.
Published: (2017)
Similar Items
-
Application of image processing and adaptive neuro-fuzzy system for estimation of the metallurgical parameters of a flotation process
by: Jahedsaravani, A., et al.
Published: (2016) -
Development of a machine vision system for real-time monitoring and control of batch flotation process
by: Jahedsaravani, Ali, et al.
Published: (2017) -
An image segmentation algorithm for measurement of flotation froth bubble size distributions
by: Jahedsaravani, A., et al.
Published: (2017) -
Froth-based modeling and control of a batch flotation process
by: Jahedsaravani, Ali, et al.
Published: (2016) -
Development of a new algorithm for segmentation of flotation froth images
by: Jahedsaravani, Ali, et al.
Published: (2014)