Soft computing-based modeling of flotation processes – A review

Artificial Intelligence in Mineral Processing Plants: An Overview

“…Soft computing methodologies and tools can assist in the design, development and operation of intelligent systems that are capable of adaptation, learning and operating autonomously [8].…”

“…The most commonly used artificial intelligence methods in flotation plants are: fuzzy logic, artificial neural networks, genetic algorithms, support vector machines, decision trees and hybrids of these methods [8].…”

“…ANN modeling has also applied to describe the dependency of technological parameters of copper flotation process on the various process parameters, such as copper feed content, reagents dosage and feed size distribution [8].…”

“…Fuzzy logic is considered a suitable instrument for modeling complex and poorly-defined systems, since present capabilities to efficiently approximate reasoning rather than exact reasoning [8].…”

“…The level of detail with which some fuzzy models are developed, is reflective of a more developed approach. This is probably the consequence of easier, more comprehensive and approachable fuzzy logic tools, in comparison with ANN development tools [8].…”