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
|
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)