Now showing items 1-3 of 3
Rule-based characterization of industrial flotation processes with inductive techniques and genetic algorithms
By making use of machine learning techniques, the features of flotation froths and other plant variables can be used as a basis for the development of knowledge-based systems for plant monitoring and control. Probabilistic ...
The interpretation of flotation froth surfaces by using digital image analysis and neural networks
The rapid developments in computer vision, computational resources and artificial intelligence, and the integration of these technologies are creating new possibilities in the design and implementation of commercial machine ...
The significance of flotation froth appearance for machine vision control
The development of robust automatic control systems has proved difficult because of the complexity of the problem. Flotation is notorious for its susceptibility to process upsets and consequently its poor performance, ...